M.Sc. Forensic Science

Overview

The M.Sc. Forensic Science programme at Kristu Jayanti (Deemed-to-be University) provides an advanced, interdisciplinary understanding of forensic principles, scientific investigation, crime scene techniques, and laboratory-based evidence analysis. With a balanced blend of theory, hands-on training, research and internship, the programme prepares students for professional roles in forensic laboratories, law enforcement agencies, research institutes, and the criminal justice system.

Eligibility

Candidates who have completed a Bachelor’s degree in Science from a recognised University with an aggregate of 50% marks (45% for SC/ ST candidates) are eligible. The candidate should have studied Forensic Science or Biological Science as a major or allied.

Why choose this Programme?
  • Curriculum aligned with industry and forensic laboratory requirements
  • Dedicated modules on crime scene investigation and quality assurance
  • Intensive practical training in forensic biology, chemistry, physics, and digital evidence analysis with state-of-the-art infrastructure
  • Project-based learning through research, field exposure and case simulations
  • Internships for real-time professional experience
  • Advanced skill enhancement courses, workshops and training programmes
What you will learn?

The programme equips you with a strong scientific foundation and advanced forensic expertise through a blend of theory, laboratory training, field exposure, and research. You will learn:

  • Crime scene processing and reconstruction
  • Analysis of biological and physical evidence using analytical instrumentation
  • Examination of digital evidence
  • Investigation of cyber crime
  • Cyber incident response and management
  • Questioned Document and fingerprint examination
  • Forensic report writing and expert testimony
  • Analysis of skeletal remains
  • Statistical research and analytical skills
Key Courses
  • Crime Scene Management
  • Forensic Biology and Serology
  • Forensic Chemistry
  • Forensic Genetics and DNA Profiling
  • Forensic Medicine and Toxicology
  • Forensic Physics and Ballistics
  • Cyber Forensics and Cyber Security
  • Network Forensics and Encryption
  • Digital Forensics and Incident Response
  • Questioned Documents and Fingerprint Examination
  • Research Methodology and Statistical Analysis
  • Forensic Anthropology and Odontology
Career Prospects
  • Forensic Scientist (FSL divisions: Biology, Chemistry, Physics, Ballistics)
  • Scene of Crime Officer
  • DNA Analyst
  • Forensic Serologist
  • Forensic Toxicologist
  • Digital Forensic Analyst
  • Cyber Security Analyst
  • Document and Fingerprint Expert
  • Research Scientist / Research Scholar
  • Forensic Consultant
  • Vigilance Officer
  • Risk and Security analyst
  • Academic and teaching careers

M.Sc. Forensic Science - Curriculum Structure

Semester I Semester II Semester III Semester IV
General Forensic Science and Criminal Law Questioned Documents and Fingerprint Examination Forensic Genetics and DNA Profiling Forensic Anthropology and Odontology
Crime Scene Management and Quality Assurance Cyber Forensics and Cyber Security Advanced Forensic Toxicology Cyber Risk, Compliance and AI in Cyber Security
Forensic Biology and Serology Forensic Chemistry Forensic Pharmacology Research Project
Forensic Physics and Ballistics Instrumentation Advanced Digital Forensics and Incident Response
Forensic Science and Crime Scene Management Practical Questioned Documents, Impression and Cyber Forensics Practical Forensic Genetics and DNA Profiling Practical
Forensic Physics and Biology Practical Forensic Chemistry, Toxicology and Instrumentation Practical Forensic Pharmacology Practical
Forensic Psychology Forensic Medicine and Toxicology Network Forensics, Cryptography and Malware Analysis
Ethical Hacking and Cyber Defense Strategies
Advanced Digital Forensics and Incident Response Practical
Network Forensics, Cryptography, Malware Analysis, Ethical Hacking and Cyber Defense Strategies Practical
Economic Offences
Research Methodology
Statistical Analysis