PG Programme
M.C.A. (Master of Computer Applications)
Specialization in AI & Data Science  

Specialization in Cyber Security  

Eligibility: B.C.A., B.Sc. (C.Sc.) or B.Sc. (I.T.) with Mathematics or Statistics as one of the subjects, with an aggregate of minimum 60% marks.

Programme Duration: 2 years - 4 Semesters

Course Overview

Elevate Your Tech Career at Amrita University

Amrita University's Master of Computer Applications (M.C.A.) program is a transformative journey designed for those who envision themselves at the forefront of the technology sector. With specializations in Artificial Intelligence & Data Science and Cyber Security, this program is tailored for aspiring professionals ready to dive deep into the realms of cutting-edge technology and emerge as leaders.

Why Choose Our M.C.A. Program?

  • • Specialized Pathways: Choose between two of the most in-demand specializations in the tech industry: AI & Data Science, and Cyber Security. Each pathway is designed to provide deep insights and practical skills in its respective field.
  • Industry-Aligned Curriculum: Our curriculum is continuously updated to align with industry standards and future trends. Gain expertise in AI algorithms, data analytics, cyber defense mechanisms, and ethical hacking techniques.
  • Hands-On Experience: Engage in practical sessions, workshops, and projects that offer real-world experience. Our state-of-the-art labs are equipped with the latest technology to facilitate your learning and research.
  • Career Advancement: Graduates of our M.C.A. program are highly sought after by top-tier companies globally. Whether you aim to be a Data Scientist, AI Specialist, Cyber Security Expert, or IT Manager, this program opens the doors to myriad opportunities.

Shape the Future of Technology

Join us at Amrita University and be part of an elite cohort of tech enthusiasts driven by innovation and excellence. Our M.C.A. program not only equips you with advanced technical skills but also fosters critical thinking and problem-solving abilities, preparing you to tackle the challenges of tomorrow's tech landscape.

Become a Tech Visionary

Prepare to lead the digital transformation with Amrita University's M.C.A. program. Whether you're passionate about harnessing the power of data for decision-making or protecting digital assets against cyber threats, our specialized tracks in AI & Data Science and Cyber Security are your gateway to becoming a pivotal force in the technology sector.

Apply Now to Redefine Your Future in Technology!

Career Opportunities

  • Software Developer
  • Web Developer
  • Mobile Application Developer
  • Machine Learning Engineer
  • Data Scientist
  • Systems Analyst
  • Cloud Solutions Architect
  • Blockchain Developer
  • Cybersecurity Analyst
  • AI Research Scientist
  • IoT Developer
  • User Experience (UX) Designer
  • Database Administrator

Amrita Advantage

  • Learner centric
  • Value based education
  • Latest industry oriented updated curriculum
  • Excellent placement record
  • World class infrastructure
  • Affordable fees
  • Scholarship - Academic and Merit
  • Separate Hostel Facility for boys and girls

Object Oriented Programming Using Java

4 Credits

Mathematical Foundations for Computer Applications

4 Credits

Data Structures

4 Credits

Advanced DBMS

4 Credits

Professional Elective I

4 Credits

Elective I

3 Credits

Cultural Education


Design and Analysis of Algorithms

4 Credits

Software Engineering and Design Patterns

3 Credits

Research Methodologies and Case Study

2 Credits

Professional Elective II

4 Credits

Professional Elective III

4 Credits

3 Credits

Elective III

3 Credits

Open Lab 1

1 Credit

Professional Elective IV

4 Credits

Professional Elective V

4 Credits

Elective IV

3 Credits

Open lab 2

1 Credit

Open Lab 3

1 Credit

Mastery Over Mind

2 Credits

Dissertation Phase 1

6 Credits

Dissertation – Phase II

12 Credits

*Curriculum is due for revision, subject to approval from academic council.


Professional / Regular Electives (Stream Base)
  • Vetors and Linear Algebra
  • Probability and Statistics
  • Multivariative Statistics
  • Fourier Transformation
  • Graph Theory and Combinatorics
  • Advanced Computer Networks
  • Advanced Web Technologies and Mean Stack
  • IoT and Cloud Computing
  • Complex Network Analysis
  • Operations Research and Optimization
  • Parallel and Distributed Computing
  • Digital Image Processing
  • Robotic Operating System
  • DevOps

Artificial Intelligence and Data Science (Stream)
  • Artificial Intelligence
  • Machine Learning
  • Data Modelling and Visualization
  • Deep Learning
  • Data Mining for Business Applications
  • Time Series Analysis
  • Big Data Analytics
  • Information Retrieval
  • Advanced Operating System and Distributed Computing
  • Information Retrieval
  • Information Science and Ethics
  • Pattern Recognition
  • Recommendation Systems
  • Natural Language Processing
  • Web Mining
  • Exploratory Data Analysis
  • Computational Intelligence Database Administration

  • Automation and Robotics
  • Advanced Operating Systems
  • Compiler Design
  • Software Testing
  • Theory of Computation
  • Web services
  • Embedded Systems
  • Enterprise Resource Planning Management
  • Computer Graphics and Visualization
  • Connected Internet of Things Devices
  • Semantic Web Technologies
  • Open-Source Systems
  • Software Quality Assurance
  • Software Defined Networks

Cyber Security (Stream)
  • Data Security and Privacy
  • Network Security
  • Python Scripting for Security
  • Fundamentals of Cybersecurity Operations
  • Cloud and Infrastructure Security
  • Cybersecurity Governance, Risk and Compliance
  • Cyber Security Law
  • Machine Learning and Artificial Intelligence in Cybersecurity
  • Mobile Security and Defence
  • Cyber Forensics
  • Blockchain and Decentralized Applications
  • VAPT (Vulnerability and Penetration Testing)
  • Security Architecture for Databases and Applications
  • System Security
  • Malware Analysis
  • Internet Security and Cryptography
  • Digital Data Recovery and Analysis
  • IT Act and Practices-Cyber Law
  • Biometric Processing
  • Ethical Hacking
  • Cloud Security
  • Malware Analysis

* Two Open Elective courses are to be taken by each student, one each in the 4th and the 5th semesters, from the list of Open Electives offered by the School.

# Students undertaking and registering for a Live-in-Lab project, can be exempted from registering for an Open Elective course in the fifth semester.

Electives listed above are only indicative. Actual Offering will depend on the number of students registering for the courses and availability of faculty.
School Administration reserves the right to modif y the subjects / curriculum / detailed syllabus as per the topical needs or changes in trends of the academic stream or industry requirements.
* One of the electives can be a Live-in-labs project done over a period of two semesters.

Admission 2024 Open