BS Program
Statistics and Data Science (for Y21)
|
I Semester |
II Semester |
||||
|
IC: MTH 101A |
3-1-0-0 |
11 |
IC: MTH 102A |
3-1-0-0 |
11 |
|
IC: PHY 103A |
3-1-0-0 |
11 |
IC: PHY 102A |
3-1-0-0 |
11 |
|
IC: CHM 101A |
0-0-3-0 |
03 |
IC: PHY 101A |
0-0-3-0 |
03 |
|
IC: ESC 101A |
3-1-3-0 |
14 |
IC: LIF 101A |
2-0-0-0 |
06 |
|
HSS: ENG 112A/HSS-1 (Level-1) |
3-1-0-0 |
11 |
IC: CHM 102A |
2-1-0-0 |
08 |
|
IC:PE 101A |
0-0-3-0 |
03 |
IC: PE 102A |
0-0-3-0 |
03 |
|
IC: TA 101A |
2-0-3-0 |
09 |
|||
|
Total |
53 |
Total |
51 |
||
|
III Semester |
IV Semester |
||||
|
DC: MTH 301A |
3-1-0-0 |
11 |
DC: MTH 211A |
3-1-0-0 |
11 |
|
ESO/SO-1: MSO 205A |
3-1-0-0 |
11 |
DC: MTH 210A |
3-0-1-0 |
10 |
|
ESO/SO-2: MSO 202A |
3-1-0-0 |
06 |
DC: MTH 212A Elementary Stochastic Processes I |
3-1-0-0 |
06 |
|
DC: MTH 207A |
3-1-0-0 |
06 |
DC: MTH 209A |
1-0-2-0 |
05 |
|
DC: MTH 208A |
0-0-3-2 |
05 |
HSS: HSS-2 (Level-1) |
3-1-0-0 |
11 |
|
IC: ESC 201A |
3-1-3-0 |
14 |
IC: TA 202A |
1-0-3-0 |
06 |
|
IC: TA 201A |
1-0-3-0 |
06 |
ESO/SO-3: |
3-0-0-0 |
09 |
|
Total |
59 |
Total |
58 |
||
|
V Semester |
VI Semester |
||||
|
DC: MTH 442A |
3-0-1-0 |
10 |
DC: MTH 422A |
3-0-1-0 |
10 |
|
DC: MTH 441A |
3-0-1-0 |
10 |
DC: MTH 314A |
3-0-1-0 |
10 |
|
DC: MTH 399A |
0-0-2-0 |
02 |
DC: MTH 312A |
1-0-2-0 |
05 |
|
ESO/SO-4: ESO 207A |
3-0-3-0 |
12 |
ESO/SO-5: |
3-0-0-0 |
09 |
|
IC: Com 200 |
1-1-0-0 |
05 |
HSS: HSS-4 (Level-2) |
3-0-0-0 |
09 |
|
HSS: HSS-3 (Level-2) |
3-0-0-0 |
09 |
OE-2/UGP - 2 |
0-0-9-0 |
09 |
|
OE-1: |
3-0-0-0 |
09 |
|||
|
UGP -1 (Extra Credit) |
0-0-4-0 |
04 |
|||
|
Total |
57/61 |
Total |
52 |
||
|
VII Semester |
VIII Semester |
||||
|
DC: MTH 443A |
3-0-1-0 |
10 |
DE – 3 |
09 |
|
|
DE - 1 |
09 |
DE – 4 |
09 |
||
|
DE - 2 |
09 |
OE – 6 |
09 |
||
|
OE – 3/UGP-3 |
09 |
OE – 7 |
09 |
||
|
OE – 4 |
09 |
HSS: HSS-5 (Level-2) |
09 |
||
|
OE - 5 |
09 |
UGP4 (Extra Credit) |
09 |
||
|
Total |
55 |
Total |
45/54 |
||
Minimum credit requirement for graduation
|
Bracket |
Credits |
Percentage |
|
Institute Core (IC) |
124 |
28.8 |
|
Department Compulsory (DC) |
111 |
25.8 |
|
Department Elective (DE) |
36 |
8.4 |
|
Open elective / UGP (OE / UGP) |
63 |
14.7 |
|
ESO/SO |
47 |
10.9 |
|
HSS |
49 |
11.4 |
|
Total |
430 |
**Up to 45 credits of internships in lieu of open electives can be taken. This can be done through the courses MTH321 Internship I, MTH322 Internship II, MTH323 Internship III, MTH324 Internship IV, MTH325 Internship V, of 9 credits each. One would have an option to earn 45 credits of OE through internship courses by spending a full semester in an industry or may do online internships (under one or more OEs) from industry, spread across different semesters. The process for enrolling in the internship courses is as follows: the student identifies a viable internship opportunity in the general realm of statistics and data science and identifies a supervisor in the MTH department. The student, in consultation with the host industry/organization, submits a proposal to the department undergraduate committee (DUGC) with the approval of the industry liaison and the departmental supervisor, upon which it will be evaluated for approval and requisite number of credits (in multiples of 9) will be decided. The grading scheme for the internship courses will be S/X.
Note: Course numbers of the internship courses and general guidelines for internships shall be updated soon.