BS Program
Statistics & Data Science: BS Template (for Y22 and after)
|
Semester 3 |
Semester 4 |
Semester 5 |
Semester 6 |
Semester 7 |
Semester 8 |
|
SCHEME-2 HSS-I (9-11) |
SCHEME-3 |
MTH 442A (10) |
SCHEME-4 |
SCHEME-5 |
SCHEME-6 (9) |
|
ESC201A (14) |
MTH 211A (11) |
MTH441A (10) |
MTH 422A- (10) |
DE – 1 (09) |
DE – 4 (09) |
|
MTH301A (11) |
MTH 210A (10) |
ESO/SO-3: ESO 207A (12) |
MTH 314A (10) |
DE – 2 (09) |
DE – 5 (09) |
|
ESO/SO-1: MSO 205A (11) |
MTH 212M (Modular 1st half) (06) |
ESO/SO-4: MSO 202M (Modular 1st half) (06) |
MTH 312A (05) |
DE – 3 (09) |
OE-5 (09) |
|
MTH 207M - (Modular 2nd half) (06) |
MTH 209A (05) |
|
MTH 443A - (10) |
OE – 3 (09) |
OE – 6 (09) |
|
MTH 208A (05) |
ESO/SO-2 (09) |
OE-1 (09) |
OE-2 (09) |
OE – 4 (09) |
|
|
|
|
|
|
|
|
|
56-58 |
50-52 |
47 |
53 |
54 |
45 |
Note: UGPs are NOT mandatory. However, depending on the consent of supervisor(s), a student may take up to 3 UGPs of 09 credits each against DE/OE (UGP will be counted as OE if taken outside the department as consented by the DUGC) requirements. A student can also take a 4th UGP, that however will NOT be counted towards fulfilling the graduation requirements.
Note: The department recommends PHY104 & PHY105 for the SDS students.
Note: (As per the Senate approved program) Up to 45 credits of internships in lieu of open electives can be taken. This can be done through the courses MTH321A Internship I, MTH322A Internship II, MTH323A Internship III, MTH324A Internship IV, MTH325A 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: Guidelines for internships are available in this page.
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.