M.Sc. Bioinformatics

Programme educational objectives

The M.Sc. (Bioinformatics) programme at SASTRA envisions creating a knowledge hub of graduates who can address key challenges in handling, analyzing and interpreting biological data. The specific objectives of the programme are:

 

Programme learning outcomes

Upon completion of the programme, the graduates will be able to

 

M. Sc.  - Bioinformatics
(For students admitted from 2020 – 21)
Scheme of Study

I Semester (26 credits) 

Course Code

Course Name

No of Contact Hours / Week

Credits

L

T

P

BIN101

Introduction to Bioinformatics

3

0

2

4

BIN535

Physical Biology

4

1

0

5

BIN536

Scripting for Biological Data Analysis

2

1

2

4

BIN537

Molecular Structural Biology

4

0

0

4

INT413

RDBMS, SQL and Visualization

3

1

0

4

INT103

Database management systems laboratory lab

0

0

2

1

MAT445

Probability and Statistics using R

3

0

2

4

TOTAL

19

3

8

26

II Semester (26 Credits) 

Course Code

Course Name

No of Contact Hours / Week

Credits

L

T

P

BIN543

Computational Chemical Modelling

4

0

0

4

BIN538

Genetics, Genomics & Proteomics

4

1

0

5

BIN304

Python Programming for Biologists

2

1

2

4

BIN549

Introduction to Data mining & Machine Learning for Bioinformatics

1

2

2

4

BIN5YZ

Elective 1

3

0

0

3

BIN5YZ

Elective 2

3

1

0

4

BIN539

Contemporary Topics in Bioinformatics

0

0

2

1

BIN544

Computational Chemical Modelling Laboratory

0

0

2

1

TOTAL

17

5

8

26

III Semester (22 credits) 

Course Code

Course Name

No of Contact Hours / Week

Credits

L

T

P

BIN305

Drug Design

3

0

0

3

BIN311

Systems Modelling

3

0

0

3

BIN540

Next Generation Sequencing Techniques, Application and Data Analytics

4

0

0

4

BIN5YZ

Elective 3

3

0

2

4

BIN307

Drug Design Laboratory

0

0

2

1

BIN541

Systems Modelling Lab

0

0

2

1

BIN542

Omics Data Analysis Laboratory

0

0

4

2

BIN599

Project Phase I

0

0

4

2

MAN106

Research Methodology & IPR

2

0

0

2

 

15

0

14

22

IV Semester (16 Credits) 

Course Code

Course Name

No of Contact Hours / Week

Credits

L

T

P

BIN600

Project work & Viva Voce

0

0

32

16

 

0

0

32

16

 

List of Electives

Elective 1: Biophysical Techniques/ Microbial Genomics and Case Studies

Elective 2: Biomolecular Crystallography/ Computational Molecular Evolution

Elective 3: Integrative Structural Biology/ Cheminformatics

Approved list of electives

  1. Integrative Structural Biology
  2. Biophysical Techniques
  3. Biomolecular Crystallography
  4. Computational Molecular Evolution
  5. Microbial Genomics and Case Studies
  6. Immunoinformatics
  7. Cheminformatics
  8. Computational Neuroscience