Double Major
Statistics & Data Science: Double Major Template (for Y22 and after)
Double Major |
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Odd Semester |
Even Semester |
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Pre-Requisites |
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MSO 205A – Introduction to Probability Theory or MSO 201A or HSO 201A or CS 203A |
|
11 |
|
|
|
|
MSO 202A or MTH403A |
|
06 |
|
|
|
|
ESO 207A |
|
12 |
|
|
|
Mandatory MTH Courses |
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MTH 301A Analysis I |
|
11 |
MTH 211A – Theory of Statistics |
|
11 |
|
MTH 207A – (Modular) Matrix Theory-II |
|
06 |
MTH 210A – Statistical Computing |
|
10 |
|
MTH 442A-Time Series Analysis |
|
10 |
MTH 212M – (Modular) Elementary Stochastic Processes-I |
|
06 |
|
MTH 441A – Linear Regression and ANOVA |
|
10 |
MTH 422A-Bayesian Analysis |
|
10 |
|
|
|
|
MTH 314A-Multivariate Analysis |
|
10 |
|
|
|
|
MTH 443A- Statistical & AI Techniques in Data Mining |
|
10 |
|
MTH 208A - Data Science Lab I |
|
05 |
MTH 209A – Data Science Lab II |
|
05 |
|
|
|
|
MTH 312A – Data Science Lab III |
|
05 |
|
Total |
|
42 |
|
|
67 |
Minor: Statistics and Data Science
- MSO 205A - Introduction to Probability Theory or MSO201A or HSO 201A or CS 203A
- MTH 211A - Theory of Statistics
- MTH 441A - Linear Regression and ANOVA
- MTH 208A – Data Science Lab I
Statistics and Data Science (Y21 and before)
|
Double Major |
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|
Odd Semester |
|
|
Even Semester |
|
|
|
Pre-Requisites
|
|||||
|
MSO 205A or HSO 201A or CS 203A |
3-1-0-0 |
11 |
|
|
|
|
MSO 202A or MTH403A |
|
06 |
|
|
|
|
ESO 207A |
3-0-3-0 |
12 |
|
|
|
|
Mandatory MTH Courses
|
|||||
|
MTH 301A |
3-1-0-0 |
11 |
MTH 211A |
3-1-0-0 |
11 |
|
MTH 207A |
3-1-0-0 |
06 |
MTH 210A |
3-0-1-0 |
10 |
|
MTH 442A |
3-0-1-0 |
10 |
MTH 212A |
3-1-0-0 |
06 |
|
MTH 441A |
3-0-1-0 |
10 |
MTH 422A |
3-0-1-0 |
10 |
|
MTH 443A |
3-0-1-0 |
10 |
MTH 314A |
3-0-1-0 |
10 |
|
MTH 208A |
0-0-3-2 |
05 |
MTH 209A |
1-0-2-0 |
05 |
|
|
|
|
MTH 312A |
1-0-2-0 |
05 |
|
Total |
|
52 |
|
|
57 |
Note: A maximum of 36 OE credits may be waived from the parent department graduation requirement to be used for the second major requirement of double major students.
Note: “Mathematics and Scientific Computing” and “Statistics and Data Science” students cannot take department compulsory (DC) courses of the other program as department electives (DE). That is, “Mathematics and Scientific Computing” students cannot take “Statistics and Data Science” DC courses as DE; and vice-versa.