The purpose of MS degree program in Bioinformatics is to provide the students with an advanced knowledge of computational biology, bioinformatics and biodata science. This program provides training to decipher the biological processes with the help of modern computational tools and information technology.

Bioinformatics is an emerging scientific discipline with highly remunerative career options. The career prospect in Bioinformatics has been gradually increasing with the use of information technology in the area of molecular biology. Bioinformatics degree holder can work in biomedical organizations, biotechnology institutions, research centers, hospitals, academics, pharmaceutical industries etc. Specific career areas which fall within the scope of this field are database design & maintenance, proteomics, pharmacology, sequence assembly & analysis, informatics, biodata science, clinical pharmacologist and others.

PROGRAM EDUCATIONAL OBJECTIVES (PEOs)

  PEO-1The graduates will be able to lead development and usage computer applications for solving biological problems and analyzing biological data in industry and academia.
  PEO-2The graduates will be able tackle problems in various industries such as pharmaceutical, biotechnology, biodata science-based software houses.
  PEO-3The graduates will undertake problem-based research on biological data.

PROGRAM LEARNING OBJECTIVES (PLOs)

  PLO-1Knowledge

Possess the core concepts of Bioinformatics and computational biology

  PLO-2Problem Analysis

Develop critical thinking and have research methods in Bioinformatics.

  PLO-3Design and Development Solutions

Design and implement research Projects by using bioinformatics skills to predict functions from structures, networks complexes, transcriptome and proteome data.

  PLO-4Investigation

Analyze efficient and reliable bioinformatics solutions by optimizing the usage of existing tools and developing new ones when needed.

  PLO-5Modern Tool Usage

Be able to use the existing tools of computational biology to analyze biological data.

  PLO-6Professional attitude

Be aware from the technologies for modern high-throughput DNA sequencing and their applications.

ADMISSION REQUIREMENTS

  • ELIGIBILITY CRITERIA FOR ADMISSION
    • 16 years qualification e.g. BS (4 years) or M.Sc. in Biological Sciences, Computer Sciences and Physical sciences or other related subjects or medical graduates (MBBS/DVM/BDS) or Pharm D. with the minimum GPA of 2.0 or equivalent.
  • SELECTION CRITERIA
    • MAJU Admission Test/NTS GAT
    • Interview

DEGREE REQUIREMENTS

For MS Bioinformatics degree, it is required to successfully complete 30 credit hours with minimum CGPA of 2.5 on scale of 4.0. Completion of defined Research. The course details are mentioned below:

AREACr. Hrs.
Core Courses12
Electives12
Research Thesis06

DURATION

MS Bioinformatics is two years program comprising of 4 semesters. Each year is comprised of a Fall and a Spring semester. The maximum duration to complete MS in Bioinformatics is 4 years.

Core Courses (06 Cr. Hrs.)

Course TitleCourse CodeCr. Hrs.
BioinformaticsBI50103
BiostatisticsBI50203
Machine LearningCS56403
BioentrepreneurshipBI60303

Elective Courses (12 Cr. Hrs.)

Course TitleCourse CodeCr. Hrs.
Advances in Cell & Molecular BiologyBT50603
Genomic MedicineBI50153
Advances in ProteomicsBI50113
Machine LearningCS56403
Information ExtractionCS76103
Information Processing TechniquesBI50133
Deep LearningCS66503
Artificial IntelligenceCS33103
Advanced Research MethodsCS51103
Advanced analysis of AlgorithmsCS55103
Applied ProgrammingCS64203

Research Thesis/Project (06 Cr. Hrs.)

Course TitleCourse CodeCr. Hrs.
Research Thesis-IBI50403
Research Thesis-IIBI50503

SCHEME OF STUDIES

Semester 1

Course TitleCourse CodeCr. Hrs.
Advanced BioinformaticsBI50103
Advanced BiostatisticsBI50203
Machine LearningCS56403

Semester 2

Course TitleCourse CodeCr. Hrs.
BioentrepreneurshipBI60303
Electives-IXXXXXX3
Electives-IIXXXXXX3

Semester 3

Course TitleCourse CodeCr. Hrs.
Research Thesis-IBI50403
Electives-IIIXXXXXX3

Semester 4

Course TitleCourse CodeCr. Hrs.
Research Thesis-IIBI50503
Electives-IVXXXXXX3