Jaypee Institute of Information Technology opens doors to opportunities, ignites professional growth and provides a chance to accelerate your career by offering a two-year M.Tech. program in the Computer Science and Engineering discipline with specializations in Data Analytics, IT and Entrepreneurship, Artificial Intelligence and Machine Learning, Internet of Things and Cyber Security under the aegis of Department of Computer Science and Information Technology. The objective of this program is to provide advanced knowledge in Computer Science and Engineering. It primarily focuses on the holistic development of students, making them fit for academics as well as industry emphasizing research, design and development skills. Besides M.Tech in Computer Science and Engineering, it also offered a bachelor degree in computer application.
The M.Tech in Computer Science and Engineering is based on a credit system and provides a pool of core and elective courses for students. Each course features a Project Based Learning (PBL) component allowing students to apply the knowledge required during studies in real-world scenarios. The curriculum encompasses a diverse range of core courses such as Data Structure and Algorithms for Big Data, Machine Learning and Data Mining, Research Methodology and Intellectual Property Rights, Cloud and Web Services Software Engineering, Performance Evaluations of Computing System, etc. that form the foundation of domain knowledge. These basic courses explore important ideas, algorithms, and theories that are crucial for grasping the complexities of computer science. The institute uses a continuous evaluation policy, aiming to teach students the importance of consistent and disciplined effort throughout their entire study period. The curriculum focuses on practical applications. Hands-on-projects, labs and real-world case studies are integrated into the course work that not only enhances problem solving skills but also prepares for challenges that may encounter in professional journey. Second year of the programme is devoted to dissertation/industrial internships or IT entrepreneurship projects and thus students have options to start their internship at industry also. The Dissertation in the final semester is an in-depth research projects under supervisors allows students to explore a specific area of interest and apply knowledge acquired during studies.
The programme also provides Teaching Assistantship (TA) of Rs. 12000/- to the students who possess CGPA greater than or equal to 7.5 in qualifying examination. TA is admissible for subsequent semesters, subject to meeting the minimum SGPA greater or equal to 7.5 and other conditions laid down in the academic regulations.
Conditions for award of Teaching Assistantship:
a) All full time students in this programme that are admitted on the basis of a valid GATE score are eligible for the award of Teaching Assistantship initially for one year which shall be reviewed for continuation subject to the conditions.
b) The students selected through PGET with exceptional merit and consistent high academic record may also be considered for the award of Teaching Assistantship, subject to the availability of vacancies and approval of VC in the second year.
c) Full time students who are not considered for award of Teaching Assistantship in the first year may be considered for award of the same at the beginning of the next academic year, based on their academic performance in the preceding academic year. Such Teaching Assistantship may be offered to students who have a CGPA of 8 or more in order of merit and subject to availability of vacancies.
d) The award of assistantship will be for 10 months in an academic year.
e) Teaching Assistantship amount shall be as decided from time to time.
The faculty plays a pivotal role in shaping the academic experience and fostering a dynamic learning environment. Many of our faculties hold advanced degrees and possess extensive research and industry experience. They are experts in various domains including Artificial Intelligence, Machine Learning, Software Engineering, Data Science, etc. The faculty engages in research and cutting-edge projects that enriches the learning experience, exposing students to the latest trends and challenges in the field. This research-oriented environment encourages students to participate in ongoing projects, fostering a culture of exploration and innovation.
After completing M.Tech, a student can pursue advance research opportunities, enter the industry with specialized expertise, explore teaching positions in academia, engage in development and innovation projects or venture into entrepreneurship. Pursuing a M.Tech in computer science and engineering can indeed be a rewarding and in-demand career path.
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