M.Sc. (Bioinformatics & Data Science)

M.Sc.

School of Life & Basic Sciences

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  • Duration

    2 Years

  • Eligibility

    Graduation in any stream

    of Allied/life science with min 50%.

  • Selection Procedure

    Merit + PI


Program Outcomes

Interdisciplinary Knowledge Integration

Imparts multi-disciplinary practical skills to prepare them for challenging careers in academic research, biotechnology, pharmaceutical and health care industries.

Advanced Computational and Statistical Approaches

Introduce the commonly used computational, statistical and analytical approaches to post genomic analysis and make meaningful predictions.

Problem-Solving and Algorithm Development

Make competent users of the basic experimental skills of bioinformatics. Comprehend the biological problem at hand and device appropriate computational strategies to solve it and interpret the results.

Biological Problem Understanding and Computational Strategy

Analyze the contents and properties of the important bioinformatics databases, perform text and sequence-based searches and interpret the results under the umbrella of interdisciplinary knowledge.

Protein Structure Prediction from Sequence

Predict the secondary and tertiary structure so protein sequences.

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Career Paths

JNU

Bioinformatics Scientist

JNU

Computational Biologist

JNU

Clinical Bioinformatics Specialist

JNU

Biostatistician

Curriculum

Curriculum Structure M.Sc. (Bioinformatics & Data Science)

Course Category Course Title Credits
Core Computer & Advanced Programming in C++ 3
Core Introduction to Bioinformatics 3
Core Genomics and Proteomics 3
Core Molecular Biology & Genetic Engineering 3
Practical I Practical Based on Computer & Advanced Programming in C++ and Introduction to Bioinformatics 3
Practical II Practical Basedon Genomics and Proteomics and Molecular Biology & Genetic Engineering 3
Discipline Specific Elective Basic Math & Statistics
Fundamentals of Biology		 3
Ability Enhancement Soft skills 2
#Value Added Courses #Students have to opt any one of the following Value-Added Courses  
**EC **Extracurricular  
Total Credits 23

Course Category Course Title Credits
Core Structural Bioinformatics 3
Core Computational Biology 3
Core Basic Concepts of Biochemistry 3
Core Java Programming 4
Practical I Practical Based on Structural Bioinformatics and Computational Biology 3
Practical II Practical Based on Java Programming 1
Discipline Specific Elective Data Structure Algorithm
Basic Concepts of Web Enabling Technology		 3
DSE Practical Data Structure Algorithm
Basic Concepts of Web Enabling Technology		 1
Skill Enhancement Basic Concepts of AIML 2
Total Credits 23

Course Category Course Title Credits
Core Immunoinformatic & Biochemical Techniques 3
Core Advanced System Biology 3
Core PERL, My SQL in Bioinformatics 3
Core Computer Aided Drug Designing 3
Practical I Practical Based on Immunoinformatic & Biochemical Techniques and Advanced System Biology 3
Practical II Practical Based on PERL, My SQL in Bioinformatics and Computer Aided Drug Designing 3
Discipline Specific Elective Pharmacogenomics
Data Mining using Python		 3
DSE Practical Pharmacogenomics
Data Mining using Python 		1
Skill Enhancement Scientific Communication 2
†Seminar Advancement in Bioinformatics 1
**CC Co-Curricular  
#Value Added Course #Students have to opt any one of the following Value-Added Course  
Total Credits 25

Course Category Course Title Credits
Dissertation Dissertation 12
Elective MOOC
Bio-Entrepreneurship		 2
Total Credits 14

Tuition Fee

₹72,600

Note *Lab & Library fee will be charged separately
#Program Proposed from Session 2024-25

Scholarship

As per University norms

Write to us to check for your eligibility

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Frequently Asked Questions

The curriculum typically covers core areas of bioinformatics, data science, computational biology, biostatistics, machine learning, genomics, programming, and data analytics. Electives may include specialized topics in data visualization, drug discovery, and artificial intelligence.

Graduates can play role as bioinformatician, data scientist, computational biologist, and research scientist are common pathways.

Yes, the program generally includes lab work, hands-on projects, and possibly internships or industry placements to gain practical experience in data science and bioinformatics tools and techniques.

Graduates can pursue careers in various fields, including:
  • Print Media (journalism, editing, publishing)
  • Broadcast Media (TV and radio reporting, news anchoring, production)
  • Digital Media (content creation, social media management, digital marketing)
  • Advertising and Public Relations (copy writer, Public Relation Officer, Designer)
  • Corporate Communication and Event Management (Event Manager)
  • Film and Television Production (Director, Videographer, Editor)
  • Photojournalism and Visual Storytelling (Photographer, Videographer, Editor)
Additionally, the program lays the groundwork for those interested in further studies or research in media and communication.

Yes, the School of Media Studies at JNU Jaipur provides placement assistance and career counseling to students. The university has strong industry connections and a dedicated placement cell that organizes internships, industry visits, and placement drives to help students secure job opportunities in reputed media organizations.

The School of Media Studies offers state-of-the-art facilities, including:
  • Media Lab and Editing Suites: Equipped with software like Adobe Premiere Pro, Final Cut Pro, and Photoshop for video editing, audio editing, and digital manipulation.
  • Broadcast Studio: A fully equipped studio for TV production, interviews, and news anchoring.
  • Radio Studio: Facilities for students to learn radio production, recording, and voice-over techniques.
  • Library: Access to a vast collection of books, journals, and e-resources focused on media and communication.
  • Photography Lab: DSLR cameras, lighting equipment, and other tools for hands-on learning in photography and photojournalism.

Yes, internships are an essential part of the curriculum. The school collaborates with media houses, PR firms, advertising agencies, and production houses to provide students with practical exposure through internships. Faculty members and the placement cell assist students in securing internships based on their area of interest.

The School of Media Studies emphasizes a balanced approach to learning, combining theoretical knowledge with practical skills. Students engage in various hands-on projects, including news production, film-making, radio shows, and digital content creation, to build their portfolios.

Commonly taught programming languages include Python, R, and SQL, with a focus on data analysis libraries and bioinformatics software such as BLAST, PyMOL, and Bioconductor.

Yes, students typically have opportunities to work on research projects as part of their curriculum and may collaborate with faculty on ongoing research projects.

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