About The Department
The Department of Computer Science and Engineering (CSE) at Akal University (AU) is dedicated to fostering globally competent graduates with strong technical skills and ethical values. The Department is offering a 4-year B.Tech. programme in Computer Science and Engineering and a 3-year BCA programme, where more than 400 students have registered presently. The courses provide students the opportunity to specialize in cutting-edge streams such as Artificial Intelligence and Machine Learning (AI/ML), Cyber Security, and Web Technologies, preparing them to meet emerging challenges and opportunities in the tech industry, equipping them with the skills to innovate and lead in a rapidly evolving digital world.
To ensure comprehensive learning, the department emphasizes hands-on exposure to emerging technologies, including High-Performance Computing, Machine Learning, Artificial Intelligence, Cloud Computing, Data Analytics, Information and Cyber Security, and Software Development. State-of-the-art laboratories equipped with high-speed computing facilities and advanced software tools support this endeavor, bridging the gap between theoretical knowledge and real-world applications.
The department also takes pride in its commitment to inclusivity and diversity. Special efforts are made to increase rural student enrollment and encourage girls to pursue careers in technology. Through initiatives such as scholarships, mentorship programs, and outreach activities, the department fosters an enabling environment for students from all backgrounds. With a mission to empower the next generation of tech leaders who are both technically adept and socially responsible, the department aspires to make a meaningful impact on the global tech community while addressing local challenges.
Vision
To be a globally recognized center of excellence in computer science and engineering education, research, and innovation, addressing the evolving needs of society, industry, and government while promoting ethical and sustainable technological practices.
Mission
To inspire and empower young and creative minds of rural India, particularly women to become technically proficient, ethically grounded, and socially responsible professionals who can address global challenges through innovative solutions.
Objcetives
- To maintain high standards of academic excellence by continuously updating the curriculum aligned with the industry needs, and thereby to produce professionals equipped with the knowledge and skills required for the IT industry, academia, and research at a global level.
- To nurture innovation, problem-solving abilities, and entrepreneurial spirit among students so as to address the demands of the evolving global tech industry by offering specialized courses in AI/ML, Cyber Security, and Web Technologies.
- To foster collaborations with industries, research organizations, and academic institutions for knowledge exchange and skill development.
Scope
- Graduates can appear for national level exams such as GATE, UGC-NET/JRF, ISRO Scientist/Engineer Exam, DRDO Scientist Entry Test, for pursuing higher education or their careers in reputed national and international institutions.
- Industry-relevant certifications like AWS, Microsoft Azure, Machine Learning, CompTIA Security+, and Google Cloud certifications are added to the resume of candidates.
- Graduates can apply for roles such as Software Developer, Data Scientist, Cybersecurity Specialist, Cloud Engineer, AI Engineer, and Web Developer or start new ventures in cutting-edge domains like AI, blockchain, IoT, and other emerging technologies.
- Interested graduates can pursue interdisciplinary research in areas like sustainable computing, healthcare technology, and smart solutions for urban challenges.
-
E-mail Id
-
Phone No.
Programmes
Course | B. Tech (CSE-Data Science) |
---|---|
Duration | 4 years (Semester System) |
Remarks |
|
Course | BCA (Data Analytics) |
---|---|
Duration | 3 years (Semester System) |
Remarks |
|
Faculty
Dr. Parvin Kumar
Assistant Professor
M.Tech., (CSE-IIIT Hyderabad), GATE, Ph.D. (BITS, Ranchi), PDF (JNU)
Research
• Distributed Computing
• Cloud Computing
• Machine Learning
• Bio-inspired optimization techniques
• Machine Learning
• Social Media Analytics