|
BS-MS PG Part – Category A (from the same program) |
|||||
| IX Semester | X Semester | ||||
| MS Project – (PGP 1, PGP 2) | 18 | MS Project - (PGP 3, PGP 4) | 18 | ||
| DE PG - I | 09 | DE PG-II | 09 | ||
| OE PG - I | 09 | OE PG-III | 09 | ||
| OE PG - II | 09 | OE PG - IV | 09 | ||
| Total | 45 | 45 | |||
Minimum credit requirement in MS part for graduation
| Component | Credits |
| PG | 90 |
| Total | 90 |
| BS-MS PG Part – Category B (from other programs) | |||||
| UG Pre-Requisites | |||||
| Odd Semester | Even Semester | ||||
| MTH 301 – Analysis I | 11 | MTH 211 – Theory of Statistics | 11 | ||
| MTH 210 – Statistical Computing | 10 | ||||
| MTH 207 – (Modular) Matrix Theory II | 06 | MTH 212M – (Modular)Elementary Stochastic Processes-I | 06 | ||
| MTH 441- Time Series Analysis | 10 | MTH 422-Bayesian Analysis | 10 | ||
| MTH 441 – Linear Regression and ANOVA | 10 | MTH 314 – Multivariate Analysis | 10 | ||
| MTH 208 - Data Science Lab I | 05 | MTH 443 - Statistical & AI Techniques in Data Mining | 10 | ||
| MTH 209 – Data Science Lab II | 05 | ||||
| MTH 312 – Data Science Lab III | 05 | ||||
| Total | 42 | 67 | |||
| PG Requirement | |||||
| Odd Semester | Even Semester | ||||
| MS Project – (PGP 1, PGP 2) | 18 | MS Project - (PGP 3, PGP 4) | 18 | ||
| DE PG - I | 09 | DE PG-II | 09 | ||
| OE PG - I | 09 | OE PG-III | 09 | ||
| OE PG - II | 09 | OE PG - IV | 09 | ||
| Total | 45 | 45 | |||
| Double Major | |||||
| 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.
| Double Major | |||||
| Odd Semester | Even Semester | ||||
| Pre-Requisites | |||||
| MSO 205 – Introduction to Probability Theory or MSO 201 or HSO 201 or CS 203 | 11 | ||||
| MSO 202 or MTH403 | 06 | ||||
| ESO 207 | 12 | ||||
| Mandatory MTH Courses | |||||
| MTH 301 Analysis I | 11 | MTH 211 – Theory of Statistics | 11 | ||
| MTH 207M – (Modular) Matrix Theory-II | 06 | MTH 210 – Statistical Computing | 10 | ||
| MTH 442 - Time Series Analysis | 10 | MTH 212M – (Modular) Elementary Stochastic Processes-I | 06 | ||
| MTH 441 – Linear Regression and ANOVA | 10 | MTH 422-Bayesian Analysis | 10 | ||
| MTH 314 - Multivariate Analysis | 10 | ||||
| MTH 443 - Statistical & AI Techniques in Data Mining | 10 | ||||
| MTH 208 - Data Science Lab I | 05 | MTH 209 – Data Science Lab II | 05 | ||
| MTH 312 – Data Science Lab III | 05 | ||||
| Total | 42 | 67 | |||
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