M. Tech.Computer Science and Engineering

M.Tech.

Computer Science and Engineering

Duration 2 Years
Admission Process HRIT HNAT Test
Affiliation HRIT University

The M.Tech in Computer Science and Engineering at HRIT University is a two-year postgraduate programme designed to provide advanced education in the rapidly evolving field of computer science. This programme emphasizes in-depth technical knowledge, innovative research, and practical problem-solving skills in areas like artificial intelligence, data science, machine learning, cloud computing, cybersecurity, and software engineering.

The curriculum begins with foundational subjects such as advanced algorithms, data structures, and system design, while progressively covering advanced topics like distributed computing, blockchain technology, quantum computing, and deep learning. With a balance of theoretical knowledge and hands-on experience, students learn to tackle complex computing challenges and stay ahead of industry trends.

In addition, the programme integrates industrial projects, research opportunities, and laboratory work to enhance the practical skills of students. It prepares graduates for high-level roles in academia, research, and industry, with ample opportunities to contribute to the technological advancements of tomorrow.

This course is for individuals who

Are passionate about exploring the depths of artificial intelligence and machine learning. Ideal candidates possess strong analytical skills, a knack for problem-solving, and a desire to innovate in technology-driven fields.

Students who are looking for

An exciting career path in AI, data science, and machine learning. This program equips you with the skills to thrive in various roles such as AI Engineer, Data Scientist, Machine Learning Specialist, and Research Scientist.

Join HRIT University’s M.Tech in Artificial Intelligence and Machine Learning, and be part of the revolution shaping our technological future!

Programme Educational Objectives

  • PEO1: Graduates will develop expertise in advanced areas of computer science and engineering to address real-world challenges.
  • PEO2: Graduates will apply their deep technical knowledge to innovate and provide sustainable solutions to emerging computing problems.
  • PEO3: Graduates will be well-prepared for roles in research, academia, or high-end positions in the IT and software industry.
  • PEO4: Graduates will pursue lifelong learning and engage in research to stay ahead of technological developments.

Programme Outcomes (POs)

  • PO1: Apply knowledge of computer science principles to solve complex engineering and technological challenges.
  • PO2: Design and implement solutions for high-performance systems and advanced software applications.
  • PO3: Conduct research and engage in independent problem-solving in areas like AI, data science, and cybersecurity.
  • PO4: Use modern computing tools and techniques for designing and analyzing systems in real-world applications.
  • PO5: Demonstrate leadership in managing multidisciplinary projects involving computer science technologies.
  • PO6: Engage in lifelong learning to keep up with advancements in computer science and technology.

This course is for individuals who

  • Have a strong foundation in computer science and are passionate about diving deeper into specialized areas like AI, machine learning, or cloud computing.
  • Enjoy solving complex problems, exploring innovative technologies, and applying computing knowledge to develop real-world solutions.

Students who are looking for

  • A challenging academic environment with opportunities to conduct research, engage with industry projects, and develop high-level computing expertise for a future in academia or the tech industry.
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