The Master of Technology (M.Tech.) in Computer Science and Engineering is a postgraduate programme designed to develop advanced knowledge and research capabilities in modern computing technologies. The curriculum follows the principles of Outcome-Based Education (OBE) and the Choice-Based Credit System (CBCS), integrating advanced coursework, professional electives, research methodology, internships, and dissertation work.
The programme prepares graduates for careers in advanced software development, artificial intelligence, cyber security, cloud computing, data science, research, academia, entrepreneurship, and technology leadership.
Programme Overview
The programme provides an industry-aligned curriculum emphasising advanced computing concepts, intelligent systems, and emerging technologies. Students gain strong theoretical foundations while developing practical skills through laboratory courses, research projects, internships, and dissertations.
Students can customise their learning through Professional Electives across multiple specialisation baskets including Artificial Intelligence, Data Science, Cyber Security, Advanced Computing Technologies, Software Computing, and Quantum Computing.
Course Curriculum
01Advanced Engineering Mathematics
02Research Methodology
03Data Structures and Algorithm Analysis
04Database Technologies and Intelligent Data Management
05Secure Networks and Cyber Défense Architectures
06Software Engineering and Modelling
07Professional Elective Course - I
08Professional Elective Course – II
01Machine Learning and Applications
02Cloud and Big Data Analytics
03Multicore Architecture
04Professional Elective Course - III
05Professional Elective Course - IV
06Professional Elective Course – V
07Open Elective - I
08Seminar
01Dissertation/ Internship - I
01Dissertation/ Internship - II
Programme Educational Objectives
After successful completion of the programme, graduates will be able to:
PEO 01: Become successful professionals in industry, government, academia, research organisations, consulting firms, and entrepreneurial ventures.
PEO 02: Contribute to society as ethical, responsible, and socially conscious professionals with broad technical expertise.
PEO 03: Demonstrate analytical, research, design, and implementation skills individually and within multidisciplinary teams.
PEO 04: Pursue lifelong learning to continuously enhance professional competence and career growth.
Programme Outcomes (POs)
Graduates of the programme will be able to:
PO 1: Analyse, manage, and supervise complex engineering systems using advanced computing tools.
PO 2: Design systems and processes considering health, safety, security, manufacturability, economics, and sustainability.
PO 3: Conduct independent research and publish research findings.
PO 4: Communicate technical knowledge effectively with diverse stakeholders.
PO 5: Evaluate engineering solutions considering global, societal, environmental, economic, and sustainable development perspectives.
Programme Specific Outcomes
PSO 01: Apply advanced concepts, methodologies, and emerging technologies in Computer Science and Engineering to design innovative solutions for complex computational and interdisciplinary problems.
PSO 02: Conduct independent research, develop innovative technologies, and pursue entrepreneurial initiatives using modern tools, scientific methodologies, and analytical techniques.
PSO 03: Design, implement, and evaluate intelligent computing systems utilising Artificial Intelligence, Machine Learning, Data Analytics, and related technologies while adhering to ethical, professional, sustainable, and societal responsibilities.
+91 9022092222
admission@presidencyuniversity.in
Rajanukunte, Yelahanka, Bengaluru, Karnataka, Pin: 560119, India
+91 9022092222