Statistical Science (STSCI)Engineering

Showing 46 results.

Course descriptions provided by the 2026-2027 Catalog.

STSCI 2100

Statistics is about understanding the world through data. We are surrounded by data, so there is a lot to understand. Covers data exploration and display, data gathering methods, probability, and statistical ... view course details

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Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: ILRST 2100

  • 4 Credits GradeNoAud

  •  3469 STSCI 2100   LEC 001

    • TR
    • Aug 24 - Dec 7, 2026
    • Packard, K

  • Instruction Mode: In Person

    Beginning with the first day of classes Industrial and Labor Relations (ILR) students must get permission to drop from an advisor in the ILR Office of Student Services.

  •  3470 STSCI 2100   DIS 201

    • F
    • Aug 24 - Dec 7, 2026
    • Packard, K

  • Instruction Mode: In Person

  •  3471 STSCI 2100   DIS 202

    • F
    • Aug 24 - Dec 7, 2026
    • Packard, K

  • Instruction Mode: In Person

  •  3472 STSCI 2100   DIS 203

    • F
    • Aug 24 - Dec 7, 2026
    • Packard, K

  • Instruction Mode: In Person

  •  3473 STSCI 2100   DIS 204

    • F
    • Aug 24 - Dec 7, 2026
    • Packard, K

  • Instruction Mode: In Person

  •  3474 STSCI 2100   DIS 205

    • F
    • Aug 24 - Dec 7, 2026
    • Packard, K

  • Instruction Mode: In Person

  •  3475 STSCI 2100   DIS 206

    • F
    • Aug 24 - Dec 7, 2026
    • Packard, K

  • Instruction Mode: In Person

  •  3476 STSCI 2100   DIS 207

    • F
    • Aug 24 - Dec 7, 2026
    • Packard, K

  • Instruction Mode: In Person

  •  3477 STSCI 2100   DIS 208

    • F
    • Aug 24 - Dec 7, 2026
    • Packard, K

  • Instruction Mode: In Person

  •  3478 STSCI 2100   DIS 209

    • F
    • Aug 24 - Dec 7, 2026
    • Packard, K

  • Instruction Mode: In Person

  •  3479 STSCI 2100   DIS 210

    • F
    • Aug 24 - Dec 7, 2026
    • Packard, K

  • Instruction Mode: In Person

  •  3480 STSCI 2100   DIS 211

    • F
    • Aug 24 - Dec 7, 2026
    • Packard, K

  • Instruction Mode: In Person

  •  3481 STSCI 2100   DIS 212

    • F
    • Aug 24 - Dec 7, 2026
    • Packard, K

  • Instruction Mode: In Person

  •  3482 STSCI 2100   DIS 214

    • R
    • Aug 24 - Dec 7, 2026
    • Packard, K

  • Instruction Mode: In Person

  •  3483 STSCI 2100   DIS 215

    • R
    • Aug 24 - Dec 7, 2026
    • Packard, K

  • Instruction Mode: In Person

STSCI 2110

A second course in statistics that emphasizes applications to the social sciences. Topics include simple linear regression, multiple linear regression (theory, model building, and model diagnostics), and ... view course details

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Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: ILRST 2110ILRST 5110STSCI 5110

  • 4 Credits GradeNoAud

  •  3489 STSCI 2110   LEC 001

    • MW
    • Aug 24 - Dec 7, 2026
    • Packard, K

  • Instruction Mode: In Person

  •  3490 STSCI 2110   DIS 201

    • F
    • Aug 24 - Dec 7, 2026
    • Staff

  • Instruction Mode: In Person

  •  3491 STSCI 2110   DIS 202

    • F
    • Aug 24 - Dec 7, 2026
    • Staff

  • Instruction Mode: In Person

  •  3492 STSCI 2110   DIS 203

    • R
    • Aug 24 - Dec 7, 2026
    • Staff

  • Instruction Mode: In Person

  •  3493 STSCI 2110   DIS 204

    • F
    • Aug 24 - Dec 7, 2026
    • Staff

  • Instruction Mode: In Person

STSCI 2120

The course will cover the basics of R programming for reading and writing data, executing simple operations on data, performing basic analyses, and producing visual graphics. An emphasis will be placed ... view course details

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Syllabi: none
  •   Seven Week - First.  Choose one lecture and one discussion. Combined with: STSCI 5120

  • 2 Credits Stdnt Opt

  • 10045 STSCI 2120   LEC 001

    • TR
    • Aug 24 - Oct 9, 2026
    • Entner, J

  • Instruction Mode: In Person

    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

  • 10046 STSCI 2120   DIS 201

    • R
    • Aug 24 - Oct 9, 2026
    • Entner, J

  • Instruction Mode: In Person

  • 10047 STSCI 2120   DIS 202

    • R
    • Aug 24 - Oct 9, 2026
    • Entner, J

  • Instruction Mode: In Person

STSCI 2130

This seven week, two-credit class will cover the regression requirements, hypothesis tests, and interpretation of results. Students will learn to identify the data necessary to perform a regression analysis, ... view course details

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Syllabi: none
  •   Seven Week - First.  Choose one lecture and one project. Combined with: ILRST 2130

  • 2 Credits GradeNoAud

  •  3511 STSCI 2130   LEC 001

    • MW
    • Aug 24 - Oct 9, 2026
    • Karns, M

  • Instruction Mode: In Person

  •  3512 STSCI 2130   PRJ 601

    • Aug 24 - Oct 9, 2026
    • Karns, M

  • Instruction Mode: In Person

STSCI 2150

This course provides an introduction to data analysis and statistical inference illustrated with biological applications. The computer labs will teach graphical analysis and statistical computation using ... view course details

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Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: STSCI 5150

  • 4 Credits Stdnt Opt

  •  9979 STSCI 2150   LEC 001

    • MWF
    • Aug 24 - Dec 7, 2026
    • Smith, M

  • Instruction Mode: In Person

    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

  •  9980 STSCI 2150   DIS 201

    • F
    • Aug 24 - Dec 7, 2026
    • Smith, M

  • Instruction Mode: In Person

  •  9981 STSCI 2150   DIS 202

    • R
    • Aug 24 - Dec 7, 2026
    • Smith, M

  • Instruction Mode: In Person

  •  9982 STSCI 2150   DIS 203

    • F
    • Aug 24 - Dec 7, 2026
    • Smith, M

  • Instruction Mode: In Person

  •  9983 STSCI 2150   DIS 204

    • R
    • Aug 24 - Dec 7, 2026
    • Smith, M

  • Instruction Mode: In Person

STSCI 2200

Students will be able to perform a variety of basic statistical analyses including: t-tests, two-sample t-tests, tests for categorical data, and linear regression. view course details

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Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: BTRY 3010BTRY 5010STSCI 5200

  • 4 Credits Stdnt Opt

  •  9889 STSCI 2200   LEC 001

    • TR
    • Aug 24 - Dec 7, 2026
    • Entner, J

  • Instruction Mode: In Person

    Prerequisite: one semester of calculus.

  •  9890 STSCI 2200   DIS 201

    • M
    • Aug 24 - Dec 7, 2026
    • Entner, J

  • Instruction Mode: In Person

  •  9891 STSCI 2200   DIS 202

    • M
    • Aug 24 - Dec 7, 2026
    • Entner, J

  • Instruction Mode: In Person

  •  9892 STSCI 2200   DIS 203

    • M
    • Aug 24 - Dec 7, 2026
    • Entner, J

  • Instruction Mode: In Person

  •  9893 STSCI 2200   DIS 204

    • M
    • Aug 24 - Dec 7, 2026
    • Entner, J

  • Instruction Mode: In Person

  •  9894 STSCI 2200   DIS 205

    • M
    • Aug 24 - Dec 7, 2026
    • Entner, J

  • Instruction Mode: In Person

  •  9895 STSCI 2200   DIS 206

    • M
    • Aug 24 - Dec 7, 2026
    • Entner, J

  • Instruction Mode: In Person

STSCI 2220

Statistics courses usually use clean and well-behaved data, this leaves many unprepared for the messiness and chaos of data in the real world. This course will follow on from STSCI 2120 and cover more ... view course details

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Syllabi: none
  •   Seven Week - Second.  Choose one lecture and one discussion. Combined with: STSCI 5220

  • 2 Credits Stdnt Opt

  • 10088 STSCI 2220   LEC 001

    • TR
    • Oct 14 - Dec 4, 2026
    • Entner, J

  • Instruction Mode: In Person

    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

  • 10089 STSCI 2220   DIS 201

    • R
    • Oct 14 - Dec 4, 2026
    • Entner, J

  • Instruction Mode: In Person

  • 10090 STSCI 2220   DIS 202

    • R
    • Oct 14 - Dec 4, 2026
    • Entner, J

  • Instruction Mode: In Person

STSCI 3080

This course provides an introduction to probability and parametric inference. Topics include: random variables, standard distributions, the law of large numbers, the central limit theorem, likelihood-based ... view course details

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Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: BTRY 3080ILRST 3080

  • 4 Credits Stdnt Opt

  •  9948 STSCI 3080   LEC 001

    • TR
    • Aug 24 - Dec 7, 2026
    • Bunea, F

  • Instruction Mode: In Person

    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

  •  9949 STSCI 3080   DIS 201

    • F
    • Aug 24 - Dec 7, 2026
    • Bunea, F

  • Instruction Mode: In Person

  •  9950 STSCI 3080   DIS 202

    • M
    • Aug 24 - Dec 7, 2026
    • Bunea, F

  • Instruction Mode: In Person

STSCI 3090

This course will cover financial mathematics and financial instruments relevant to exam FM offered by the Society of Actuaries. Topics on the present and accumulated value of future cash flows will be ... view course details

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Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: BTRY 3090

  • 4 Credits Opt NoAud

  • 10002 STSCI 3090   LEC 001

    • MW
    • Aug 24 - Dec 7, 2026
    • Das, S

  • Instruction Mode: In Person

    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

  • 10003 STSCI 3090   DIS 201

    • F
    • Aug 24 - Dec 7, 2026
    • Das, S

  • Instruction Mode: In Person

STSCI 3110

This course provides an introduction to probability and parametric inference. Topics include: random variables, standard distributions, the law of large numbers, the central limit theorem, likelihood-based ... view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: ECON 3110ILRST 3110

  • 4 Credits Graded

  •  3130 STSCI 3110   LEC 001

    • MW
    • Aug 24 - Dec 7, 2026
    • Diciccio, T

  • Instruction Mode: In Person

    Prerequisite: MATH 1110 or equivalent.

  •  3131 STSCI 3110   DIS 201

    • F
    • Aug 24 - Dec 7, 2026
    • Diciccio, T

  • Instruction Mode: In Person

  •  3132 STSCI 3110   DIS 202

    • F
    • Aug 24 - Dec 7, 2026
    • Diciccio, T

  • Instruction Mode: In Person

  •  3133 STSCI 3110   DIS 203

    • F
    • Aug 24 - Dec 7, 2026
    • Diciccio, T

  • Instruction Mode: In Person

  •  3134 STSCI 3110   DIS 204

    • F
    • Aug 24 - Dec 7, 2026
    • Diciccio, T

  • Instruction Mode: In Person

STSCI 3600

Integrated Ethics in Data Science examines your responsibilities in data analysis. Our investigation starts with the aggregated impacts of data science on fairness, privacy, and justice outcomes for groups ... view course details

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Syllabi: none
  •   Seven Week - Second.  Choose one lecture and one project. Combined with: STSCI 5600

  • 2 Credits Opt NoAud

  • 10040 STSCI 3600   LEC 001

    • MW
    • Oct 14 - Dec 4, 2026
    • Karns, M

  • Instruction Mode: In Person

    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

  • 10041 STSCI 3600   PRJ 601

    • Oct 14 - Dec 4, 2026
    • Karns, M

  • Instruction Mode: In Person

STSCI 3740

We start off with a detailed refresher for Linear Regression. We then turn to popular methods for classification including Logistic Regression and Discriminant Analysis. Finally, we consider more advanced ... view course details

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Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one project. Combined with: STSCI 5740

  • 4 Credits Stdnt Opt

  •  9959 STSCI 3740   LEC 001

    • TR
    • Aug 24 - Dec 7, 2026
    • Simonis, Q

  • Instruction Mode: In Person

    Formerly STSCI 4740. Course content and difficulty unchanged; still fulfills 4000-level STSCI/BTRY major requirements.
    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

  •  9960 STSCI 3740   PRJ 601

    • Aug 24 - Dec 7, 2026
    • Simonis, Q

  • Instruction Mode: In Person

STSCI 3900

Causal claims are essential in both science and policy. Would a new experimental drug improve disease survival? Would a new advertisement cause higher sales? Would a person's income be higher if they finished ... view course details

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Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: ILRST 3900INFO 3900

  • 3 Credits Stdnt Opt

  • 10051 STSCI 3900   LEC 001

    • TR
    • Aug 24 - Dec 7, 2026
    • Wang, Y

      Yu, C

  • Instruction Mode: In Person

    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

  • 10052 STSCI 3900   DIS 201

    • W
    • Aug 24 - Dec 7, 2026
    • Wang, Y

      Yu, C

  • Instruction Mode: In Person

  • 10053 STSCI 3900   DIS 202

    • W
    • Aug 24 - Dec 7, 2026
    • Wang, Y

      Yu, C

  • Instruction Mode: In Person

  • 10054 STSCI 3900   DIS 203

    • W
    • Aug 24 - Dec 7, 2026
    • Wang, Y

      Yu, C

  • Instruction Mode: In Person

  • 10055 STSCI 3900   DIS 204

    • W
    • Aug 24 - Dec 7, 2026
    • Wang, Y

      Yu, C

  • Instruction Mode: In Person

  • 10056 STSCI 3900   DIS 205

    • W
    • Aug 24 - Dec 7, 2026
    • Wang, Y

      Yu, C

  • Instruction Mode: In Person

STSCI 4030

The focus of this course is the theory and application of the general linear model expressed in its matrix form. Topics will include: least squares estimation, multiple linear regression, coding for categorical ... view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one laboratory. Combined with: BTRY 4030STSCI 5030

  • 4 Credits Stdnt Opt

  •  9917 STSCI 4030   LEC 001

    • MW
    • Aug 24 - Dec 7, 2026
    • Kowal, D

  • Instruction Mode: In Person

    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

  •  9918 STSCI 4030   LAB 401

    • M
    • Aug 24 - Dec 7, 2026
    • Kowal, D

  • Instruction Mode: In Person

  •  9919 STSCI 4030   LAB 402

    • W
    • Aug 24 - Dec 7, 2026
    • Kowal, D

  • Instruction Mode: In Person

  •  9920 STSCI 4030   LAB 403

    • W
    • Aug 24 - Dec 7, 2026
    • Kowal, D

  • Instruction Mode: In Person

  •  9921 STSCI 4030   LAB 404

    • R
    • Aug 24 - Dec 7, 2026
    • Kowal, D

  • Instruction Mode: In Person

STSCI 4050

No description available. view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: STSCI 5050

  • 4 Credits Opt NoAud

  • 10069 STSCI 4050   LEC 001

    • TR
    • Aug 24 - Dec 7, 2026
    • Booth, J

  • Instruction Mode: In Person

    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

  • 10070 STSCI 4050   DIS 201

    • F
    • Aug 24 - Dec 7, 2026
    • Booth, J

  • Instruction Mode: In Person

STSCI 4060

The first part of the course teaches basic Python programming knowledge and skills, such as Python variables, data containers, language controls, functions, objects, class, data structures, regular expressions, ... view course details

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Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: STSCI 5045

  • 4 Credits Stdnt Opt

  •  9915 STSCI 4060   LEC 001

    • MWF
    • Aug 24 - Dec 7, 2026
    • Yang, X

  • Instruction Mode: In Person

    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

  •  9916 STSCI 4060   DIS 201

    • T
    • Aug 24 - Dec 7, 2026
    • Yang, X

  • Instruction Mode: In Person

STSCI 4110

Categorical data analysis, including logistic regression, log-linear models, stratified tables, matched pairs analysis, polytomous response, and ordinal data. Applications in biological, biomedical and ... view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Combined with: BTRY 4110ILRST 4110STSCI 5160

  • 3 Credits Graded

  •  9912 STSCI 4110   LEC 001

    • TR
    • Aug 24 - Dec 7, 2026
    • Smith, M

  • Instruction Mode: In Person

    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

STSCI 4630

Introduction to the applications of OR techniques, e.g., probability, statistics, and optimization, to finance and financial engineering. The course reviews probability and statistics and surveys assets ... view course details

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Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: ORIE 4630ORIE 5630STSCI 5630

  • 4 Credits Opt NoAud

  •  9064 STSCI 4630   LEC 001

    • MW
    • Aug 24 - Dec 7, 2026
    • Ruppert, D

  • Instruction Mode: In Person

  •  9065 STSCI 4630   DIS 201

    • M
    • Aug 24 - Dec 7, 2026
    • Ruppert, D

  • Instruction Mode: In Person

  •  9066 STSCI 4630   DIS 204

    • R
    • Aug 24 - Dec 7, 2026
    • Ruppert, D

  • Instruction Mode: In Person

STSCI 4970

Students assist in teaching a course appropriate to their previous training. Students meet with a discussion or laboratory section and regularly discuss objectives with the course instructor. view course details

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Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Sat/Unsat

  •  9985 STSCI 4970   IND 601

    • Aug 24 - Dec 7, 2026
    • Smith, M

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Sat/Unsat

  •  9986 STSCI 4970   IND 602

    • Aug 24 - Dec 7, 2026
    • Das, S

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Sat/Unsat

  •  9987 STSCI 4970   IND 603

    • Aug 24 - Dec 7, 2026
    • El Alaoui, A

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Sat/Unsat

  •  9988 STSCI 4970   IND 604

    • Aug 24 - Dec 7, 2026
    • Entner, J

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Sat/Unsat

  •  9989 STSCI 4970   IND 605

    • Aug 24 - Dec 7, 2026
    • Diciccio, T

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Sat/Unsat

  •  9990 STSCI 4970   IND 606

    • Aug 24 - Dec 7, 2026
    • Yang, D

  • Instruction Mode: Independent Studies

STSCI 4980

Problem solving sessions to prepare students for the first four actuarial examinations (probability, financial mathematics, statistical modeling, and risk management). view course details

View Enrollment Information

Syllabi: none
  •   Project Session Full. 

  • 2 Credits Sat/Unsat

  •  9984 STSCI 4980   PRJ 601

    • Aug 24 - Dec 7, 2026
    • Wells, M

  • Instruction Mode: In Person

STSCI 4990

Course consists of individual tutorial study selected by faculty. Because topics usually change year to year this course may be repeated for credit. view course details

View Enrollment Information

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  •  9961 STSCI 4990   IND 601

    • Aug 24 - Dec 7, 2026
    • Basu, S

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  •  9962 STSCI 4990   IND 602

    • Aug 24 - Dec 7, 2026
    • Booth, J

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  •  9963 STSCI 4990   IND 603

    • Aug 24 - Dec 7, 2026
    • Diciccio, T

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  •  9964 STSCI 4990   IND 604

    • Aug 24 - Dec 7, 2026
    • Das, S

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  •  9965 STSCI 4990   IND 605

    • Aug 24 - Dec 7, 2026
    • Matteson, D

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  •  9966 STSCI 4990   IND 606

    • Aug 24 - Dec 7, 2026
    • Ning, Y

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  •  9967 STSCI 4990   IND 607

    • Aug 24 - Dec 7, 2026
    • Ruppert, D

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  •  9968 STSCI 4990   IND 608

    • Aug 24 - Dec 7, 2026
    • Wells, M

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  •  9969 STSCI 4990   IND 609

    • Aug 24 - Dec 7, 2026
    • Wang, Y

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  •  9970 STSCI 4990   IND 610

    • Aug 24 - Dec 7, 2026
    • Wegkamp, M

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  •  9971 STSCI 4990   IND 611

    • Aug 24 - Dec 7, 2026
    • Karns, M

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  •  9972 STSCI 4990   IND 612

    • Aug 24 - Dec 7, 2026
    • Kuceyeski, A

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  •  9973 STSCI 4990   IND 613

    • Aug 24 - Dec 7, 2026
    • Lu, H

  • Instruction Mode: Independent Studies

STSCI 4995

Students planning internships related to Statistics and Data Science are encouraged to enroll in the departmental internship course. view course details

View Enrollment Information

Syllabi: none
  •   Project Session Full. 

  • 1 Credit Sat/Unsat

  • 10017 STSCI 4995   IND 601

    • Aug 24 - Dec 7, 2026
    • Booth, J

  • Instruction Mode: Independent Studies

STSCI 4999

Research at the undergraduate level. view course details

View Enrollment Information

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  •  9945 STSCI 4999   RSC 701

    • Aug 24 - Dec 7, 2026
    • Diciccio, T

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  •  9946 STSCI 4999   RSC 702

    • Aug 24 - Dec 7, 2026
    • Matteson, D

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  •  9947 STSCI 4999   RSC 703

    • Aug 24 - Dec 7, 2026
    • Wells, M

  • Instruction Mode: Directed Research

STSCI 5030

The focus of this course is the theory and application of the general linear model expressed in its matrix form. Topics will include: least squares estimation, multiple linear regression, coding for categorical ... view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one laboratory. Combined with: BTRY 4030STSCI 4030

  • 4 Credits Stdnt Opt

  • 10004 STSCI 5030   LEC 001

    • MW
    • Aug 24 - Dec 7, 2026
    • Kowal, D

  • Instruction Mode: In Person

    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

  • 10005 STSCI 5030   LAB 401

    • M
    • Aug 24 - Dec 7, 2026
    • Kowal, D

  • Instruction Mode: In Person

  • 10006 STSCI 5030   LAB 402

    • W
    • Aug 24 - Dec 7, 2026
    • Kowal, D

  • Instruction Mode: In Person

  • 10007 STSCI 5030   LAB 403

    • W
    • Aug 24 - Dec 7, 2026
    • Kowal, D

  • Instruction Mode: In Person

  • 10008 STSCI 5030   LAB 404

    • R
    • Aug 24 - Dec 7, 2026
    • Kowal, D

  • Instruction Mode: In Person

STSCI 5045

The first part of the course teaches basic Python programming knowledge and skills, such as Python variables, data containers, language controls, functions, objects, class, data structures, regular expressions, ... view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: STSCI 4060

  • 4 Credits Stdnt Opt

  • 10037 STSCI 5045   LEC 001

    • MWF
    • Aug 24 - Dec 7, 2026
    • Yang, X

  • Instruction Mode: In Person

  • 10038 STSCI 5045   DIS 201

    • T
    • Aug 24 - Dec 7, 2026
    • Yang, X

  • Instruction Mode: In Person

  • 10039 STSCI 5045   DIS 202

    • W
    • Aug 24 - Dec 7, 2026
    • Yang, X

  • Instruction Mode: In Person

STSCI 5050

No description available. view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: STSCI 4050

  • 4 Credits Opt NoAud

  • 10071 STSCI 5050   LEC 001

    • TR
    • Aug 24 - Dec 7, 2026
    • Booth, J

  • Instruction Mode: In Person

    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

  • 10072 STSCI 5050   DIS 201

    • F
    • Aug 24 - Dec 7, 2026
    • Booth, J

  • Instruction Mode: In Person

STSCI 5060

Using relational databases in statistical computing has become more and more important. The knowledge and skill of database management and the ability to combine this knowledge and skill with statistical ... view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one project.

  • 4 Credits Stdnt Opt

  •  9974 STSCI 5060   LEC 001

    • MWF
    • Aug 24 - Dec 7, 2026
    • Yang, X

  • Instruction Mode: In Person

    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

  •  9975 STSCI 5060   PRJ 601

    • Aug 24 - Dec 7, 2026
    • Yang, X

  • Instruction Mode: In Person

STSCI 5080

This course provides an introduction to probability and parametric inference. Topics include: random variables, standard distributions, the law of large numbers, the central limit theorem, likelihood-based ... view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion.

  • 4 Credits Stdnt Opt

  •  9957 STSCI 5080   LEC 001

    • TR
    • Aug 24 - Dec 7, 2026
    • Kato, K

  • Instruction Mode: In Person

    Enrollment limited to: Master of Professional Studies (MPS) Applied Statistics students.
    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

  •  9958 STSCI 5080   DIS 201

    • F
    • Aug 24 - Dec 7, 2026
    • Kato, K

  • Instruction Mode: In Person

STSCI 5090

Introduction to classical theory of parametric statistical inference that builds on the material covered in BTRY 3080. Topics include sampling distributions, principles of data reduction, likelihood, parameter ... view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: BTRY 5090

  • 4 Credits Graded

  • 10035 STSCI 5090   LEC 001

    • TR
    • Aug 24 - Dec 7, 2026
    • Diciccio, T

  • Instruction Mode: In Person

  • 10036 STSCI 5090   DIS 201

    • F
    • Aug 24 - Dec 7, 2026
    • Diciccio, T

  • Instruction Mode: In Person

STSCI 5110

Second course in statistics that emphasizes applications to the social sciences. Topics include simple linear regression, multiple linear regression (theory, model building, and model diagnostics), and ... view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: ILRST 2110ILRST 5110STSCI 2110

  • 4 Credits GradeNoAud

  •  3504 STSCI 5110   LEC 001

    • MW
    • Aug 24 - Dec 7, 2026
    • Packard, K

  • Instruction Mode: In Person

  •  3505 STSCI 5110   DIS 201

    • F
    • Aug 24 - Dec 7, 2026
    • Staff

  • Instruction Mode: In Person

  •  3506 STSCI 5110   DIS 202

    • F
    • Aug 24 - Dec 7, 2026
    • Staff

  • Instruction Mode: In Person

  •  3507 STSCI 5110   DIS 203

    • R
    • Aug 24 - Dec 7, 2026
    • Staff

  • Instruction Mode: In Person

  •  3508 STSCI 5110   DIS 204

    • F
    • Aug 24 - Dec 7, 2026
    • Staff

  • Instruction Mode: In Person

STSCI 5120

The course will cover the basics of R programming for reading and writing data, executing simple operations on data, performing basic analyses, and producing visual graphics. An emphasis will be placed ... view course details

View Enrollment Information

Syllabi: none
  •   Seven Week - First.  Choose one lecture and one discussion. Combined with: STSCI 2120

  • 2 Credits Stdnt Opt

  • 10048 STSCI 5120   LEC 001

    • TR
    • Aug 24 - Oct 9, 2026
    • Entner, J

  • Instruction Mode: In Person

    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

  • 10049 STSCI 5120   DIS 201

    • R
    • Aug 24 - Oct 9, 2026
    • Entner, J

  • Instruction Mode: In Person

  • 10050 STSCI 5120   DIS 202

    • R
    • Aug 24 - Oct 9, 2026
    • Entner, J

  • Instruction Mode: In Person

STSCI 5150

This course provides an introduction to data analysis and statistical inference illustrated with biological applications. The computer labs will teach graphical analysis and statistical computation using ... view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: STSCI 2150

  • 4 Credits Stdnt Opt

  • 10010 STSCI 5150   LEC 001

    • MWF
    • Aug 24 - Dec 7, 2026
    • Smith, M

  • Instruction Mode: In Person

    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

  • 10011 STSCI 5150   DIS 201

    • F
    • Aug 24 - Dec 7, 2026
    • Smith, M

  • Instruction Mode: In Person

  • 10012 STSCI 5150   DIS 202

    • R
    • Aug 24 - Dec 7, 2026
    • Smith, M

  • Instruction Mode: In Person

  • 10013 STSCI 5150   DIS 203

    • F
    • Aug 24 - Dec 7, 2026
    • Smith, M

  • Instruction Mode: In Person

  • 10014 STSCI 5150   DIS 204

    • R
    • Aug 24 - Dec 7, 2026
    • Smith, M

  • Instruction Mode: In Person

STSCI 5160

Categorical data analysis, including logistic regression, log-linear models, stratified tables, matched pairs analysis, polytomous response, and ordinal data. Applications in biological, biomedical and ... view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Combined with: BTRY 4110ILRST 4110STSCI 4110

  • 3 Credits Graded

  • 10009 STSCI 5160   LEC 001

    • TR
    • Aug 24 - Dec 7, 2026
    • Smith, M

  • Instruction Mode: In Person

    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

STSCI 5200

Students will be able to perform a variety of basic statistical analyses including: t-tests, two-sample t-tests, tests for categorical data, and linear regression. view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: BTRY 3010BTRY 5010STSCI 2200

  • 4 Credits Stdnt Opt

  • 10026 STSCI 5200   LEC 001

    • TR
    • Aug 24 - Dec 7, 2026
    • Entner, J

  • Instruction Mode: In Person

  • 10027 STSCI 5200   DIS 201

    • M
    • Aug 24 - Dec 7, 2026
    • Entner, J

  • Instruction Mode: In Person

  • 10028 STSCI 5200   DIS 202

    • M
    • Aug 24 - Dec 7, 2026
    • Entner, J

  • Instruction Mode: In Person

  • 10029 STSCI 5200   DIS 203

    • M
    • Aug 24 - Dec 7, 2026
    • Entner, J

  • Instruction Mode: In Person

  • 10030 STSCI 5200   DIS 204

    • M
    • Aug 24 - Dec 7, 2026
    • Entner, J

  • Instruction Mode: In Person

  • 10031 STSCI 5200   DIS 205

    • M
    • Aug 24 - Dec 7, 2026
    • Entner, J

  • Instruction Mode: In Person

  • 10032 STSCI 5200   DIS 206

    • M
    • Aug 24 - Dec 7, 2026
    • Entner, J

  • Instruction Mode: In Person

STSCI 5220

Statistics courses usually use clean and well-behaved data, this leaves many unprepared for the messiness and chaos of data in the real world. This course will follow on from STSCI 5120 and cover more ... view course details

View Enrollment Information

Syllabi: none
  •   Seven Week - Second.  Choose one lecture and one discussion. Combined with: STSCI 2220

  • 2 Credits Stdnt Opt

  • 10091 STSCI 5220   LEC 001

    • TR
    • Oct 14 - Dec 4, 2026
    • Entner, J

  • Instruction Mode: In Person

  • 10092 STSCI 5220   DIS 201

    • R
    • Oct 14 - Dec 4, 2026
    • Entner, J

  • Instruction Mode: In Person

  • 10093 STSCI 5220   DIS 202

    • R
    • Oct 14 - Dec 4, 2026
    • Entner, J

  • Instruction Mode: In Person

STSCI 5600

Integrated Ethics in Data Science examines your responsibilities in data analysis. Our investigation starts with the aggregated impacts of data science on fairness, privacy, and justice outcomes for groups ... view course details

View Enrollment Information

Syllabi: none
  •   Seven Week - Second.  Choose one lecture and one project. Combined with: STSCI 3600

  • 2 Credits Opt NoAud

  • 10042 STSCI 5600   LEC 001

    • MW
    • Oct 14 - Dec 4, 2026
    • Karns, M

  • Instruction Mode: In Person

  • 10043 STSCI 5600   PRJ 601

    • Oct 14 - Dec 4, 2026
    • Karns, M

  • Instruction Mode: In Person

STSCI 5630

Introduction to the applications of OR techniques, e.g., probability, statistics, and optimization, to finance and financial engineering. The course reviews probability and statistics and surveys assets ... view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: ORIE 4630ORIE 5630STSCI 4630

  • 4 Credits Opt NoAud

  •  9170 STSCI 5630   LEC 001

    • MW
    • Aug 24 - Dec 7, 2026
    • Ruppert, D

  • Instruction Mode: In Person

  •  9171 STSCI 5630   DIS 202

    • T
    • Aug 24 - Dec 7, 2026
    • Ruppert, D

  • Instruction Mode: In Person

  •  9172 STSCI 5630   DIS 203

    • R
    • Aug 24 - Dec 7, 2026
    • Ruppert, D

  • Instruction Mode: In Person

STSCI 5740

We start off with a detailed refresher for Linear Regression. We then turn to popular methods for classification including Logistic Regression and Discriminant Analysis. Finally, we consider more advanced ... view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one project. Combined with: STSCI 3740

  • 4 Credits Stdnt Opt

  • 10015 STSCI 5740   LEC 001

    • TR
    • Aug 24 - Dec 7, 2026
    • Simonis, Q

  • Instruction Mode: In Person

    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

  • 10016 STSCI 5740   PRJ 601

    • Aug 24 - Dec 7, 2026
    • Simonis, Q

  • Instruction Mode: In Person

STSCI 5954

Students will learn core professional skills required to work with a client. These skills include designing and implementing a work plan, learning to communicate efficiently, presentation of a final deliverable ... view course details

View Enrollment Information

Syllabi: none
  •   Seven Week - Second. 

  • 2 Credits Opt NoAud

  • 10044 STSCI 5954   LEC 001

    • M
    • Oct 14 - Dec 4, 2026
    • Das, S

  • Instruction Mode: In Person

    Enrollment limited to: Master of Professional Studies (MPS) Applied Statistics students.
    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

STSCI 5990

For individual or group research projects conducted under the direction of a member of STSCI faculty or instructors in a special area of statistical science that is not covered by regular course ... view course details

View Enrollment Information

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  •  9896 STSCI 5990   RSC 701

    • Aug 24 - Dec 7, 2026
    • Basu, S

  • Instruction Mode: Directed Research

    Prerequisite: multicalculus, linear algebra, and basic statistics.

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  •  9897 STSCI 5990   RSC 702

    • Aug 24 - Dec 7, 2026
    • Diciccio, T

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  •  9898 STSCI 5990   RSC 703

    • Aug 24 - Dec 7, 2026
    • El Alaoui, A

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  •  9899 STSCI 5990   RSC 704

    • Aug 24 - Dec 7, 2026
    • Matteson, D

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  •  9900 STSCI 5990   RSC 705

    • Aug 24 - Dec 7, 2026
    • Smith, M

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  •  9901 STSCI 5990   RSC 706

    • Aug 24 - Dec 7, 2026
    • Wells, M

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  •  9902 STSCI 5990   RSC 707

    • Aug 24 - Dec 7, 2026
    • Yang, X

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  •  9903 STSCI 5990   RSC 708

    • Aug 24 - Dec 7, 2026
    • Kato, K

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  •  9904 STSCI 5990   RSC 709

    • Aug 24 - Dec 7, 2026
    • Ruppert, D

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  •  9905 STSCI 5990   RSC 710

    • Aug 24 - Dec 7, 2026
    • Ning, Y

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  •  9906 STSCI 5990   RSC 711

    • Aug 24 - Dec 7, 2026
    • Booth, J

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  •  9907 STSCI 5990   RSC 712

    • Aug 24 - Dec 7, 2026
    • Wang, Y

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  •  9908 STSCI 5990   RSC 713

    • Aug 24 - Dec 7, 2026
    • Yang, D

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  •  9909 STSCI 5990   RSC 714

    • Aug 24 - Dec 7, 2026
    • Guinness, J

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  •  9910 STSCI 5990   RSC 715

    • Aug 24 - Dec 7, 2026
    • Das, S

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-4 Credits Stdnt Opt

  •  9911 STSCI 5990   RSC 716

    • Aug 24 - Dec 7, 2026
    • Entner, J

  • Instruction Mode: Directed Research

STSCI 5995

Students planning internships related to Statistics and Data Science are encouraged to enroll in the departmental internship course. view course details

View Enrollment Information

Syllabi: none
  •   Project Session Full. 

  • 1 Credit Sat/Unsat

  • 10018 STSCI 5995   IND 601

    • Aug 24 - Dec 7, 2026
    • Wells, M

  • Instruction Mode: Independent Studies

STSCI 6520

Modern statistical methods routinely used in practice for analyzing large, complex datasets require intensive computation. This course covers topics in statistical computing, including numerical optimization ... view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one project.

  • 4 Credits Stdnt Opt

  •  9852 STSCI 6520   LEC 001

    • MW
    • Aug 24 - Dec 7, 2026
    • El Alaoui, A

  • Instruction Mode: In Person

    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

  •  9853 STSCI 6520   PRJ 601

    • Aug 24 - Dec 7, 2026
    • El Alaoui, A

  • Instruction Mode: In Person

STSCI 6970

Individual tutorial study selected by the faculty. Because topics usually change from year to year, this course may be repeated for credit. view course details

View Enrollment Information

Syllabi: none
  •   Project Session Full. 

  • 3 Credits Stdnt Opt

  •  9991 STSCI 6970   IND 601

    • Aug 24 - Dec 7, 2026
    • Booth, J

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 3 Credits Stdnt Opt

  •  9992 STSCI 6970   IND 602

    • Aug 24 - Dec 7, 2026
    • Matteson, D

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 3 Credits Stdnt Opt

  •  9993 STSCI 6970   IND 603

    • Aug 24 - Dec 7, 2026
    • Ruppert, D

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 3 Credits Stdnt Opt

  •  9994 STSCI 6970   IND 604

    • Aug 24 - Dec 7, 2026
    • Wells, M

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 3 Credits Stdnt Opt

  •  9995 STSCI 6970   IND 605

    • Aug 24 - Dec 7, 2026
    • Yang, X

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 3 Credits Stdnt Opt

  •  9996 STSCI 6970   IND 606

    • Aug 24 - Dec 7, 2026
    • Wang, Y

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 3 Credits Stdnt Opt

  •  9997 STSCI 6970   IND 607

    • Aug 24 - Dec 7, 2026
    • Wegkamp, M

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 3 Credits Stdnt Opt

  •  9998 STSCI 6970   IND 608

    • Aug 24 - Dec 7, 2026
    • Yang, D

  • Instruction Mode: Independent Studies

Syllabi: none
  •   Project Session Full. 

  • 3 Credits Stdnt Opt

  •  9999 STSCI 6970   IND 609

    • Aug 24 - Dec 7, 2026
    • Kuceyeski, A

  • Instruction Mode: Independent Studies

STSCI 7170

Properties of the multivariate normal distribution. Distribution theory for quadratic forms. Properties of least squares and maximum likelihood estimates. Methods for fixed-effect models of less than full ... view course details

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Combined with: ILRST 7170ORIE 7170

  • 3 Credits Stdnt Opt

  •  9976 STSCI 7170   LEC 001

    • TR
    • Aug 24 - Dec 7, 2026
    • Yang, D

  • Instruction Mode: In Person

    For Bowers Computer and Information Science (CIS) Course Enrollment Help, please see: https://tdx.cornell.edu/TDClient/193/Portal/Home/

STSCI 7999

Research at the Ph.D. Level. view course details

View Enrollment Information

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Sat/Unsat

  •  9927 STSCI 7999   RSC 701

    • Aug 24 - Dec 7, 2026
    • Booth, J

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Sat/Unsat

  •  9928 STSCI 7999   RSC 702

    • Aug 24 - Dec 7, 2026
    • Bunea, F

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Sat/Unsat

  •  9929 STSCI 7999   RSC 703

    • Aug 24 - Dec 7, 2026
    • Diciccio, T

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Sat/Unsat

  •  9930 STSCI 7999   RSC 704

    • Aug 24 - Dec 7, 2026
    • Staff

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Sat/Unsat

  •  9931 STSCI 7999   RSC 705

    • Aug 24 - Dec 7, 2026
    • Matteson, D

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Sat/Unsat

  •  9932 STSCI 7999   RSC 706

    • Aug 24 - Dec 7, 2026
    • Ruppert, D

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Sat/Unsat

  •  9933 STSCI 7999   RSC 707

    • Aug 24 - Dec 7, 2026
    • Wegkamp, M

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Sat/Unsat

  •  9934 STSCI 7999   RSC 708

    • Aug 24 - Dec 7, 2026
    • Wells, M

  • Instruction Mode: Directed Research

STSCI 9999

Doctoral Level Dissertation Research. view course details

View Enrollment Information

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Stdnt Opt

  •  9935 STSCI 9999   RSC 701

    • Aug 24 - Dec 7, 2026
    • Basu, S

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Stdnt Opt

  •  9936 STSCI 9999   RSC 702

    • Aug 24 - Dec 7, 2026
    • Booth, J

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Stdnt Opt

  •  9937 STSCI 9999   RSC 703

    • Aug 24 - Dec 7, 2026
    • Bunea, F

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Stdnt Opt

  •  9938 STSCI 9999   RSC 704

    • Aug 24 - Dec 7, 2026
    • Diciccio, T

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Stdnt Opt

  •  9939 STSCI 9999   RSC 705

    • Aug 24 - Dec 7, 2026
    • Guinness, J

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Stdnt Opt

  •  9940 STSCI 9999   RSC 706

    • Aug 24 - Dec 7, 2026
    • Staff

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Stdnt Opt

  •  9941 STSCI 9999   RSC 707

    • Aug 24 - Dec 7, 2026
    • Matteson, D

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Stdnt Opt

  •  9942 STSCI 9999   RSC 708

    • Aug 24 - Dec 7, 2026
    • Ruppert, D

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Stdnt Opt

  •  9943 STSCI 9999   RSC 709

    • Aug 24 - Dec 7, 2026
    • Wegkamp, M

  • Instruction Mode: Directed Research

Syllabi: none
  •   Project Session Full. 

  • 1-9 Credits Stdnt Opt

  •  9944 STSCI 9999   RSC 715

    • Aug 24 - Dec 7, 2026
    • Wells, M

  • Instruction Mode: Directed Research