Sample Schedules: MS in Data Science
Full-Time Three Semester Course Sample Schedule
First Year
| Course | Credits |
|---|---|
DSCC 462: Computational Introduction to Statistics | 4 |
DSCC 440: Data Mining | 4 |
xxx xxx: Elective Popular Fall electives are: DSCC 401: Tools for Data Science, DSCC 420: Intro to Random Processes, DSCC 435: Optimization for Machine LearningDSCC 475: Time Series Analysis & Forecasting in Data Science , BCSC 547: Intro to Computational Neuroscience, CSC 442: Artificial Intelligence, CSC 445: Deep Learning CSC 447: End-to End Deep Learning, STAT 416: Intermediate Statistical Methodology | 4 |
CASC 404: Exploring Careers & Internship Prep for MS Data Science Students FREE 7-week career preparation course |
| Course | Credits |
|---|---|
DSCC 461: Database Systems | 4 |
DSCC 465: Introduction to Statistical Machine Learning | 4 |
xxx xxx: Elective Popular Spring Electives are: DSCC 402: Data Science at Scale, DSCC 442: Network Science Analytics DSCC 449: Computer Models of Perception and Cognition, DSCC 451: Machine Learning with Limited Data, CSC 409: Seminar on Artificial Intelligence, CSC 447: Natural Language Processing, ECE 484: Deep Learning in Imaging, STAT 417: Advanced Statistical Mythology. In addition, the Simon School of Business offers electives that are popular with DSC MS students including: CIS 438: Agentic AI Application, GBA 468P: Prescriptive Analytics with Python, GBA 479: Generative AI & Business Applications, MKT 440: Pricing Analytics. | 4 |
Second Year
| Course | Credits |
|---|---|
DSCC 483: Data Science Practicum | 4 |
DSCC 495: Master's Research Student may also get involved in DSCC 495: Master's Research or DSCC 491: Independent Study for 2-4 credits. Students can also take a fall elective course instead of research. | 2 |
DSCC 897: Master's Dissertation Along with DSCC 483, this course maintains full-time enrollment in the final semester. |
Full-Time Three Semester Course Sample Schedule with Internship
First Year
| Course | Credits |
|---|---|
DSCC 462: Computational Introduction to Statistics | 4 |
DSCC 440: Data Mining | 4 |
xxx xxx: Elective Popular Fall electives are: DSCC 401: Tools for Data Science, DSCC 420: Intro to Random Processes, DSCC 435: Optimization for Machine LearningDSCC 475: Time Series Analysis & Forecasting in Data Science , BCSC 547: Intro to Computational Neuroscience, CSC 442: Artificial Intelligence, CSC 445: Deep Learning CSC 447: End-to End Deep Learning, STAT 416: Intermediate Statistical Methodology | 4 |
CASC 404: Exploring Careers & Internship Prep for MS Data Science Students FREE 7-week career preparation course |
| Course | Credits |
|---|---|
DSCC 461: Database Systems | 4 |
DSCC 465: Introduction to Statistical Machine Learning | 4 |
xxx xxx: Elective Popular Spring Electives are: DSCC 402: Data Science at Scale, DSCC 442: Network Science Analytics DSCC 449: Computer Models of Perception and Cognition, DSCC 451: Machine Learning with Limited Data, CSC 409: Seminar on Artificial Intelligence, CSC 447: Natural Language Processing, ECE 484: Deep Learning in Imaging, STAT 417: Advanced Statistical Mythology. In addition, the Simon School of Business offers electives that are popular with DSC MS students including: CIS 438: Agentic AI Application, GBA 468P: Prescriptive Analytics with Python, GBA 479: Generative AI & Business Applications, MKT 440: Pricing Analytics. | 4 |
| Course | Credits |
|---|---|
DSCC 494: Master's Internship International students who require for Curricular Practical Training (CPT) for off-campus internship will register for 1 credit of internship with a faculty. | 1 |
Second Year
| Course | Credits |
|---|---|
DSCC 483: Data Science Practicum | 4 |
DSCC 494: Master's Internship International students who require for Curricular Practical Training (CPT) for off-campus internship will register for 1 credit of internship with a faculty. Internship must not interfere with DSCC 483 Capstone class and are typically part-time and remote. If internship is not available for the fall, student may also get involved in DSCC 495: Master's Research for credit or do DSCC 491: Independent Study for 2-4 credits. Students can also take a fall elective course instead of research. | 1 |
DSCC 897: Master's Dissertation Along with DSCC 483, this course maintains full-time enrollment in the final semester. |
Full-Time Two Semester Course Sample Schedule
First Year
| Course | Credits |
|---|---|
DSCC 462: Computational Introduction to Statistics | 4 |
DSCC 440: Data Mining | 4 |
DSCC 461: Database Systems | 4 |
xxxx xxx: Elective Popular Fall electives are: DSCC 401: Tools for Data Science DSCC 420: Intro to Random Processes DSCC 435: Optimization for Machine Learning DSCC 475: Time Series Analysis & Forecasting in Data Science BCSC 547: Intro to Computational Neuroscience CSC 442: Artificial Intelligence CSC 445: Deep Learning CSC 447: End-to End Deep Learning STAT 416: Intermediate Statistical Methodology | 4 |
CASC 404: Exploring Careers & Internship Prep for MS Data Science Students |
| Course | Credits |
|---|---|
DSCC 465: Introduction to Statistical Machine Learning | 4 |
DSCC 483: Data Science Practicum | 4 |
xxx xxx: Elective Popular Spring Electives are: DSCC 402: Data Science at Scale DSCC 442: Network Science Analytics DSCC 449: Computer Models of Perception and Cognition DSCC 451: Machine Learning with Limited Data CSC 409: Seminar on Artificial Intelligence CSC 447: Natural Language Processing ECE 484: Deep Learning in Imaging STAT 417: Advanced Statistical Mythology | 4 |
xxx xxx: Elective Students may also get involved in DSCC 495: Master's Research for credit or do DSCC 491: Independent Study for 2-4 credits In addition, the Simon School of Business offers electives that are popular with DSC MS students including: CIS 438: Agentic AI Application GBA 468P: Prescriptive Analytics with Python GBA 479: Generative AI & Business Applications MKT 440: Pricing Analytics | 2 |