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:

  • To impart fundamental concepts and principles of biology and techniques required for effective analysis and interpretation of biological data.
  • To provide a broad base of basic bioinformatics concepts and skills and an in-depth knowledge of at least one area of biology including understanding of biological data generation technologies
  • To inculcate a sense of scientific curiosity and self-learning abilities to make them life-long learners.
  • To create individuals who possess ability to effectively communicate with a range of audience possessing varying degrees of scientific knowledge
  • To develop interpersonal skills to work as a team in a multidisciplinary front to accomplish a common goal
  • To equip the graduates with time and project management capabilities
  • To create ethical professionals with social responsibility and legal awareness

 

Programme learning outcomes

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

  • Explain the role of bioinformatics in science and technology.
  • Apply bioinformatics tools to analyze and interpret biological data.
  • Develop efficient repositories and tools for biological data sharing.
  • Employ computational tools to provide insights and solutions into biological problems.
  • Work in a multidisciplinary team with effective communication and interpersonal skills.
  • Contribute to the welfare of the society with ethical and environmental consciousness.

 

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

Academic

Contact

SASTRA DEEMED UNIVERSITY
Tirumalaisamudram
Thanjavur - 613401
Tamilnadu, India

+91 4362 264101 - 108
        304000 - 010
+91 4362 264120

admissions@sastra.edu