B.Tech in Computer Science and Engineering programme with specialisations in Artificial Intelligence and Data Science, at MIT World Peace University, is an edge-cutting programme that helps the students achieve a high degree of proficiency to deal with AI and Data Science-related challenges. It is a four-year full-time programme which focuses on the development of broad knowledge concerning concepts and applications of theoretical principles for the smooth handling of available job roles in the technological world.

Curriculum Overview

The curriculum is designed to equip students with a strong foundation in core computer science principles that include: programming, algorithms, and data structures. As the student progresses through the programme, they tend to study more specialised topics such as machine learning, deep learning, natural language processing, big data analytics, and data visualisation. The balance of foundational knowledge with advanced topics will ensure that the graduates are well-versed in the latest technologies and methodologies in AI and data science.

Practical Learning Experience

The programme is characterised by its emphasis on experiential learning. Students engage in hands-on projects, internships, and industry collaborations that allow them to apply theoretical knowledge to real-world challenges. This practical approach not only enhances their technical skills but also fosters critical thinking and problem-solving abilities essential for success in the tech industry.

Specialisation Tracks

There are four specialisation tracks the programme allows, such as Business Intelligence that shows deep insight about data-driven decision-making; Edge AI that goes deeper with real-time processing at the edge of the network; Bio-Inspired Computing in which it analyses algorithms inspired from biological processes, and Medical Image Processing where AI is applied for healthcare diagnostics.

B.Tech Computer Science and Engineering application process at MIT-WPU

Eligibility Criteria

The candidates should have appeared in JEE 2025 / MHT-CET 2025 / PERA 2025 / MHT-CET-B* 2025 / NEET* 2025. [*Applicable only for Bioengineering and Food Engineering programme] conducted by the Competent Authority

AND

Minimum 50% aggregate in PCM or PCB* or Physics & Mathematics with any Technical Vocational Subject. Physics, Mathematics/Biology* & English are Compulsory subjects with Chemistry/Biotechnology* or Technical Vocational Courses in 10+2/Class 12th or equivalent examination [*Applicable only for Bioengineering and Food Engineering programme] (at least 45% marks, in case of Reserved category candidate belonging to Maharashtra State only).

OR

Minimum 60% marks in Diploma in Engineering & Technology in an appropriate branch from Government approved technical board.

2. Selection Process

The selection process for B.Tech programmes is based on JEE 2025/ MHT-CET 2025/ PERA 2025/ MHT-CET-B* 2025/ NEET* 2025 score and a Statement of Purpose (500 words) written by the candidate. [*Applicable only for Bioengineering and Food Engineering programme].

Dates to Remember

Applications for the academic year 2025 are now open.

Career Opportunities

After completing a B.Tech in Computer Science and Engineering with specialisation in Artificial Intelligence (AI) and Data Science, several career opportunities open up. Graduates can pursue roles such as AI Engineer, Data Scientist, Machine Learning Engineer, and Data Analyst, where they work on developing AI models, analysing complex data sets, and implementing machine learning algorithms. Other career paths include positions in software development, business intelligence, and robotics, or working as a data engineer, AI researcher, or deep learning specialist. Industries like healthcare, finance, e-commerce, and autonomous systems are actively seeking professionals with expertise in AI and Data Science. In addition, pursuing roles in academia or entrepreneurship, like starting a tech company or working as a consultant, is also an option. With the rising demand for data-driven solutions and AI technologies, the job market for B.Tech in Computer Science and Engineering graduates is expected to expand rapidly.

Conclusion

The B.Tech in Computer Science and Engineering (Artificial Intelligence and Data Science) at MIT-WPU has a demanding curriculum and prepares the students for significant demand-based jobs in the field of technology. This course, being an applied skill building programme with suitable industry exposure, provides high-class training to the students looking forward to becoming successful professionals in the field of technology. Interested candidates must ascertain the eligibility criteria and follow up with the application procedure to be eligible for admission.