School of Computer Science - Under Graduate
B.C.A
The Bachelor in Computer Applications is a 3 / 4 year ( 6 / 8 semesters), full time program to become future leaders in Information Technology arena. The MIT School of Computer Science encourages individuals who are eager to overcome obstacles and develop into proactive professionals. The institute aids in their transformation by providing cutting-edge teaching and learning techniques, cutting-edge computer laboratories, a platform for peer learning, and chances to learn management in the present.
3 / 4 Years
Program Description
Welcome to the B.C.A
Bachelor's in Computer Application (B.C.A) is a 3/4-year undergraduate degree programme that focuses on knowledge on the basics of computer application and software development. The curriculum is planned according to New Education Policy (NEP) 2020. It is based on a Semester pattern and choice-based credit-based system. A BCA degree is considered to be at par with a BTech or BE in Computer Science or Information Technology. The degree helps interested students in setting up a sound academic base for an advanced career in Computer Applications. The curriculum of BCA includes database management systems, operating systems, software engineering, web technology, languages such as C, C++, HTML, Java etc and trending courses which will students to pursue higher studies in computer applications as well as to become industry ready.
| Specialization - Under graduate | Intake (180) |
|---|---|
| Artificial Intelligence & Data Science | 60 |
| Cyber Security and Forensics | 60 |
| Block Chain | 60 |
Artificial Intelligence and Data Science
Artificial Intelligence and Data Science are one of the many branches of science, engineering, and technology. The specialization in Artificial Intelligence and Data Science deals with core technologies like Machine learning, Artificial Intelligence, Data warehouse, Data mining, Scripting language, Product development, Mathematical modeling
This specialization also gives importance to areas like big data analytics, fuzzy technologies, and artificial neural networks. It helps students in getting ready with skills to perform decisions that are based on data analysis.
Through AI and DS specialization, students will gain skills in areas like statistics, data scientists, machine learning, computer science, and logic.
Cyber Security and Forensic
Cyber Security and Forensic impacts knowledge about the body of the technologies, processes and practices designed to protect networks, computers, programs, and data from attack, damage and unauthorized access.
Cyber forensics is a branch of digital forensic science pertaining to legal evidence found in cyberspace and digital storage media. The specialized program addresses the underlying need for cyber experts as the country is heading towards an internet explosion mostly fueled by e-commerce, e-banking, e-governance, and social media
Block Chain
The aim of Block Chain Technology specialization is to familiarize students with the functional and operational aspects of the crypto currency ecosystem. In this specialization, students develop an understanding of the emerging abstract models for Block chain Technology.
The primary objective of this specialization is to identify significant research challenges and technical gaps existing between theory and practice in crypto currency domain and to quickly configure a new development platform to understand the applications of block chain in cyber security, the integrity of information, E-Governance and other contract enforcement mechanisms
The curriculum of this programme is designed in such a way that students are exposed to the Basic Cryptographic primitives used in Block chain, Basic Distributed System concepts, Basic Block chain concepts, Limitations of block chain as a technology, and myths vs reality of block chain technology and have an understanding and working knowledge of the emerging block chain technology.