COURSE OVERVIEW
An M.Tech (Master of Technology) in Computer Science and Engineering (CSE) is a postgraduate program designed to provide advanced knowledge and practical skills in computer science. The program bridges theoretical foundations with modern technological advancements, preparing students to tackle complex computing challenges. It is ideal for those aiming for careers in cutting-edge tech industries, research, or academic roles. Students gain exposure to current trends in computing such as artificial intelligence, cloud computing, and cybersecurity. The curriculum is a blend of coursework, hands-on labs, and research-oriented projects, encouraging innovation and problem-solving. Through electives and specializations, students can tailor their studies to align with personal interests and industry demands. By the end of the program, graduates are equipped with the skills to design, develop, and optimize intelligent and scalable computing systems. The program also fosters collaboration through seminars, projects, and case studies. Graduates often emerge as thought leaders, ready to contribute meaningfully to the evolving landscape of technology. With a strong foundation in both academic and applied aspects, M.Tech CSE graduates are well-positioned to shape the future of digital innovation.
PROGRAMME OBJECTIVES
- To provide students with advanced knowledge in specialized areas such as Artificial Intelligence, Machine Learning, and Cybersecurity.
- To encourage original research and innovation, enabling students to contribute to the field of Computer Science.
- To establish strong ties with the industry for practical exposure and real-world applications.
- To promote interdisciplinary approaches, integrating concepts from Data Science, Software Engineering, and Network Design.
PROGRAMME HIGHLIGHTS
Programme Curriculum
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Semester - I +
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3 Week Induction Program Course Code Course Name Periods per week
Credits Hours per week L T P MTCT6501 Mathematical Foundations of Computer Science 2 1 0 3 3 SOTT6301 Advanced Data Structures and Algorithms 2 1 0 3 3 Program Elective – I MTCT6601a Deep Learning 3 0 0 3 3 MTCT6601b Natural Language Processing MTCT6601c Generative AI Program Elective – II MTCT6602a Enterprise Cloud Concepts 3 0 0 3 3 MTCT6602b Data Science MTCT6602c No SQL Databases SOTT6302 Research Methodology and IPC 2 0 0 2 2 SOTT6303 Human Values & Professional Ethics (Audit Course – I) 2 0 0 0 2 MTCS6501/MTCC6501 Technical Seminar/Case study 1 0 0 1 1 SOTL6301 Advanced Data Structures and Algorithms Lab 0 0 4 2 4 MTCJ6501 Cloud Architecture 1 0 2 2 3 — Mentoring 0 0 0 0 1 — Library 0 0 0 0 2 — Physical Activity 0 0 0 0 2 — Extra-Curricular Activities 0 0 0 0 2 — Co-Curricular Activity 0 0 0 0 2 — Self-Learning 0 0 0 0 3 TOTAL 16 2 6 19 36
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Semester - II +
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Course Code Course Name Periods per week
Credits Hours per week L T P SOTT6304 Advanced Machine Learning 2 1 0 3 3 MTCT6502 Advanced Computer Networks 2 1 0 3 3 Program Elective – III MTCT6603a Ethical Hacking and Penetration Testing 3 0 0 3 3 MTCT6603b Digital Forensics MTCT6603c Database Security and Privacy Program Elective – IV MTCT6604a Advanced Wireless Sensor Networks 3 0 0 3 3 MTCT6604b Advanced Wireless Adhoc Networks MTCT6604c Quantum Computing SOTT6305 English for Research Paper Writing (Audit Course II)
2 0 0 0 2 MTCP6501 Mini Project with Technical Seminar 0 0 8 4 8 SOTL6302 Advanced Machine Learning Lab 0 0 4 2 4 MTCL6501 Advanced Computer Networks Lab 0 0 4 2 4 — Mentoring 0 0 0 0 1 — Co-Curricular Activities 0 0 0 0 1 — Self-Learning 0 0 0 0 1 — Extra-Curricular Activities 0 0 0 0 2 — Library 0 0 0 0 1 TOTAL 12 2 16 20 36
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Semester III: +
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Course Code Course Name Periods per week
Credits Hours per week L T P MTCM7501 MOOC – 1 3 0 0 3 3 MTCM7502 MOOC – 2 3 0 0 3 3 MTCP7501 Dissertation I / Industrial Project 0 0 20 10 20 — Mentoring 0 0 0 0 1 — Co-curricular activity 0 0 0 0 2 — Self-Learning 0 0 0 0 1 — Physical Activity 0 0 0 0 2 — Extra-curricular activities 0 0 0 0 2 — Soft Skills Training 0 0 0 0 1 — Certification Course 0 0 0 0 1 TOTAL 6 0 20 16 36
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Semester IV: +
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Course Code Course Name Periods per week
Credits Hours per week L T P MTCP7502 Dissertation Phase II 0 0 32 16 32 TOTAL 0 0 32 16 32
PROGRAMME FEE AND SCHOLARSHIPS
| One Time Fee | Admission Fee | ₹10,000 |
| Year I | Tuition Fee + Annual Recurring Fee | ₹ 1,50,000 + ₹ 13,000 |
| Year II | Tuition Fee + Annual Recurring Fee | ₹ 1,50,000 + ₹ 13,000 |
| Total Programme Fee (2 Years) | ₹ 3,36,000 |
Scholarship is available for eligible students
Admissions are conducted in two modes:
1. Convener Quota: As per the Andhra Pradesh Private Universities Act, through the Government of Andhra Pradesh.
2. University Quota: Based on the TAU entrance exam or recognized national-level exams.
Eligibility
Pass with 50% aggregate marks (45% for reserved categories) in B.Tech. (Computer Science and Engineering or Information Technology or Electronics and Communication Engineering or Electrical and Electronics Engineering) or MCA or M.Sc. (Information Technology or Computer Science) or equivalent.
EMPLOYABILITY AREAS
Graduates are equipped to work in research labs, biotech industries, diagnostics, and healthcare sectors. Prominent roles include:
- Software Engineer
- Senior Software Engineer
- Software Developer
- AI/Machine Learning Engineer
- Cybersecurity Analyst
- Assistant Professor
- Project Fellow or Ph.D. Scholar
FAQ
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Is M.Tech. good for CSE? +
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Yes. M.Tech. in CSE is excellent for deepening technical expertise, specialising in fields like AI, cybersecurity and cloud computing. It enhances job prospects, supports innovation and is ideal for careers in industry, academia, or research.
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Who is eligible for M.Tech. in Computer Science and Engineering? +
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Candidates must have 50% aggregate marks (45% for reserved categories) in B.Tech. (CSE, IT, ECE, EEE), MCA, or M.Sc. (CS/IT) or equivalent. Admission is through The Apollo University’s entrance test or national-level exams.
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Which college is best for M.Tech. in CSE? +
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The Apollo University offers a strong M.Tech. CSE programme with specialisations in AI, ML, cybersecurity and cloud. It provides hands-on labs, industry-aligned curriculum and research opportunities, making it a top choice.
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Is M.Tech. CSE tough? +
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M.Tech. CSE is academically demanding but manageable with consistent effort. It involves advanced subjects, hands-on labs, research projects and specialisations that require logical thinking, coding and problem-solving skills.
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What is the duration of the M.Tech. Computer Science and Engineering programme? +
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The programme is 2 years long, divided into 4 semesters. It includes coursework, electives, hands-on labs, internships, research projects and a dissertation phase for in-depth exploration.
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What is the salary of M.Tech. CSE? +
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Fresh graduates can expect salaries ranging from ₹6–12 LPA. With experience, roles in AI, cybersecurity and cloud computing can fetch ₹15–25 LPA in top tech firms or research institutions.
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What subjects are covered in the M.Tech. CSE programme? +
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Subjects include AI, Deep Learning, NLP, Cloud Computing, Cybersecurity, Machine Learning, Computer Networks, Research Methodology, Quantum Computing and various elective topics with supporting lab work.
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What are the career opportunities after completing the M.Tech. Computer Science and Engineering programme? +
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Graduates can work as Software Engineers, ML Engineers, Cybersecurity Analysts, Cloud Architects, Researchers, or pursue academic roles like Assistant Professors or Ph.D. scholars in reputed institutions.
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Is the M.Tech in Computer Science and Engineering programme suitable for a research-oriented career? +
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Yes. The programme includes research methodology, mini projects and a dissertation phase, making it ideal for pursuing Ph.D. or R&D roles in both academia and industry.
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What is the scope of MTech CSE? +
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The scope is vast, spanning IT, AI, cloud, data science, cybersecurity and academia. It prepares professionals for advanced roles in tech development, research, consulting, or entrepreneurship.