The M.Tech. program in Computer Science and Engineering (CSE) at OP Jindal University, Raigarh, is meticulously designed to equip students with the advanced knowledge and practical skills necessary to thrive in the rapidly evolving technology landscape. Recognizing the growing demands of the tech industry, the curriculum is crafted with a strong industry orientation, ensuring that graduates are not only academically proficient but also industry-ready. This program integrates theoretical foundations with practical applications, emphasizing cutting-edge technologies and real-world challenges.
A key strength of this program is its focus on emerging and high-demand fields such as Artificial Intelligence (AI), Data Science, Cybersecurity, and Cloud Computing. These areas represent the forefront of technological innovation and have become critical drivers of digital transformation across industries worldwide. By specializing in these domains, students gain access to contemporary tools, methodologies, and frameworks that prepare them for complex problem-solving and innovation. The coursework is regularly updated to reflect the latest industry trends, research breakthroughs, and technological advancements, thereby ensuring that students remain at the cutting edge.
One of the distinctive features of the M.Tech. CSE program at OP Jindal University is its strong emphasis on experiential learning. Students participate in two dedicated semesters of industry internships, providing them with invaluable exposure to real-world working environments. These internships facilitate close interaction with seasoned professionals, enabling students to apply their classroom knowledge to practical situations, understand organizational workflows, and develop professional competencies. This hands-on experience significantly enhances their employability and equips them with insights into the challenges and expectations of the tech industry.
Complementing internships are real-world capstone projects, which serve as a platform for students to demonstrate their ability to design, develop, and implement innovative solutions. These projects are often undertaken in collaboration with leading companies and industry partners, fostering a synergy between academic learning and industrial requirements. Through these projects, students hone their skills in research, teamwork, project management, and communication — all essential for successful careers in technology-driven sectors.
The program also prioritizes holistic skill development beyond technical expertise. Emphasizing problem-solving, critical thinking, teamwork, and leadership, the curriculum nurtures well-rounded professionals capable of adapting to diverse roles and responsibilities. Students engage in collaborative learning environments that simulate industry settings, encouraging peer interaction and collective innovation. These experiences prepare graduates to take on leadership roles, drive technological initiatives, and contribute effectively to interdisciplinary teams.
At its core, the M.Tech. in Computer Science and Engineering at OP Jindal University aims to bridge the gap between academia and industry by aligning educational outcomes with the evolving needs of employers. Graduates emerge as highly competent professionals ready to excel in innovation-driven roles within startups, multinational corporations, research organizations, and government agencies. Their expertise enables them to contribute meaningfully to the development and deployment of cutting-edge technologies on a global scale.
In summary, OP Jindal University’s M.Tech. CSE program offers a comprehensive and forward-looking education that prepares students to become leaders in the tech industry. With its robust curriculum, industry partnerships, practical training, and focus on emerging technologies, the program ensures that graduates are well-equipped to navigate and shape the future of computing and engineering.
General: These are full-time programs and will require students to dedicate themselves completely to the taught and research schedule. It is advisable for students to stay on campus in hostels which will also facilitate them in taking up assistantship opportunities. MTech students will be given single room accommodation subject to availability.
If the candidate doesn’t pay full fee by the stipulated date, the admission would be deemed cancelled and the seat will become vacant for the next round of counseling.
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Scholarships and teaching/research assistantships are available for deserving meritorious students. Minimum requirement for scholarships is a score of 75% and above in the Qualifying exam. Each scholarship application will be evaluated by the Scholarship Committee. The scholarships are given on an annual basis. To continue the scholarships after the first year, the student will have to maintain a minimum prescribed academic performance during the course of the programme.
Assistantships require students to commit minimum of 8 hours of work per week outside regular academic work, assisting professors on teaching or research projects. Typically an assistantship could pay a stipend of Rs. 12,000 per month depending on the type and quality of work undertaken.
Continuation of assistantship during each semester is contingent upon satisfactory academic performance and satisfactory performance in the discharge of responsibilities assigned under the scheme.
Semester I |
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Mathematics for Data Science |
Advanced Data Structures and Algorithms |
Data Analytics and Applications |
Machine Learning |
Program Elective 1 |
Advanced Data Structures and Algorithms Lab |
Data Analytics and Applications Lab |
Machine Learning Lab |
Program Elective Lab 1 |
Intellectual Property Rights |
Semester II - Course Name |
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Next Generation Databases |
Research Methodology |
Deep Learning |
Program Elective II |
Cloud Computing |
Next Generation Databases Lab |
Deep Learning Lab |
Program Elective Lab II |
Cloud Computing Lab |
Scientific Paper Writing |
Semester III - Course Name |
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Industrial/Research Internship |
Dissertation I |
Semester IV - Course Name |
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Dissertation II |
Semester II - Course Name |
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Engineering Mathematics-II |
Applied Chemistry |
Semester II - Course Name |
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Engineering Mathematics-II |
Applied Chemistry |
Accomplish vertical expertise in chosen discipline and enhance ability to function in multidisciplinary domains.
Ability and aptitude to exercise research intelligence in investigations/innovations and to communicate the findings in a clear, concise manner.
Develop and apply knowledge of engineering and management principles to manage a project in a multidisciplinary environment.
Gain knowledge of ethical principles and commit to professional ethics.
Ability to identify appropriate resources and learn independently for projects, research etc. using online resources.
PSO 1: Having an ability to apply advanced techniques and tools and computation to effectively solve multi-disciplinary challenges in industry and society.
PSO 2: Having an ability to design and conduct experiments, as well as to analyze and interpret data, and synthesis of information.
PSO 3: Having computational thinking (Ability to translate vast data into abstract concepts and to understand database reasoning).