Curriculum for MS in Data Science and Analytics
Total credit hours of the program in MS in Data Science & Analytics are 40 and the credit distribution is as described below:
A. Core Courses 28C
B. Elective Courses 12C
----------------------------
40C
A. Core Courses (28C)
Students must take all 8 courses listed below:
|
Credit Hours
|
Course Number & Title
|
|---|---|
|
3
|
DSA5001: Statistical Methods and Probability
|
|
3
|
DSA5002: Programming for Data Science
|
|
3
|
DSA5003: Database Management Systems
|
|
3
|
DSA5004: Regression Analysis
|
|
3
|
DSA5005: Multivariate Statistical Analysis
|
|
3
|
DSA5006: Machine Learning
|
|
3
|
DSA5007: Big Data & Cloud Computing
|
|
7
|
DSA5099: Research Project
|
|
28
|
<= Total
|
B. Elective Courses (4 courses 12C)
Students must choose any 4 courses from the following list of courses.
|
Credit Hours
|
Course Number & Title
|
|---|---|
|
3
|
DSA5011: AI & Deep Learning
|
|
3
|
DSA5021: Time Series Analysis & Forecasting
|
|
3
|
DSA5041: Applied Econometrics
|
|
3
|
DSA5043: Business Process Analytics
|
|
3
|
DSA5045: Machine Learning for Finance
|
|
3
|
DSA5047: Data Analytics for Finance
|
|
3
|
DSA5061: Environmental Data Analysis and Climate Change
|
|
3
|
DSA5063: Bioinformatics
|
|
3
|
DSA5065: Biostatistics & Epidemiology
|
|
3
|
DSA5071: Generalized Linear Models
|
|
3
|
DSA5073: Categorical Data Analysis
|
|
3
|
DSA5075: Design of Experiment
|
|
3
|
DSA5077: Actuarial Data Analysis
|
|
12
|
<= Total
|
