General Recommendations:

There are quite a few interesting courses offered by the Mathematics Department under the SI label. However, SI courses have very strict prerequisites, hence you’ll have to start off with the compulsory courses. This isn’t a bad thing, but probably means that you should target completing the Statistics minor, since you’re going to be doing those courses anyway. There is an alternate route avoiding the SI courses, that can result in the completion of a Data Science minor. It may also be possible to complete both minors with an extended workload. It is not necessarily recommended to choose all the courses recommended for a particular semester, please take your time commitments and the credit limits into consideration.

3rd Semester:

• SI427 Probability I
• IE621 Probability and Stochastic Processes I (DS elective)

4th Semester:

• SI527 Introduction to Derivative Pricing (prereq: SI427)
• SC607 Optimization (DS elective)
• EE325 Probability and Random Processes (DS elective)

5th Semester:

• SI424 Statistical Inference I (prereq: SI427)
• SC631 Games and Information (DS elective)
• IE501 Optimisation Models

6th Semester:

• SI404 Applied Stochastic Processes (prereq: SI427)
• EE621 Markov Chains and Queuing Systems
• IE612 Introduction to Financial Engineering

7th Semester:

• DS203 Programming for Data Science
• MG403 Accounting and Finance
• IE605 Engineering Statistics
• SLP/BTP

8th Semester:

• DS303/CS419/EE769 Introduction to Machine Learning
• EE736 Introduction to Stochastic Optimization (DS elective)
• IE648 Quantitative Analysis in Finance and Marketing
• IE616 Decision Analysis and Game Theory
• EE720 An Introduction to Number Theory and Cryptography