Overview

The Department of Data Science and Computer Applications, MIT offers the following programs:     BTech DSE - Data Science and Engineering,  MTech Data Science and MCA - Master of Computer Applications. The Department  was started in 1998 as a part of the Department of Mathematics, affiliated to the Mangalore University. Subsequently, it was a part of the Information and Communication Technology engineering department under Manipal Academy of Higher Education (MAHE then called the erstwhile Manipal University) Since 2009, this department has been functioning as an independent department at MIT, MAHE, offering the 2-year Master of Computer Applications program. Over the years, the department has evolved into a center for excellence providing opportunities for innovation and research with well-equipped computer facilities and dedicated faculty, who apart from their regular teaching schedule, are actively involved in pursuing research in various areas like Data Science, Image Processing, Video Coding, Network Security, Knowledge Engineering and Cloud Computing. The department has a good record of research activities with many publications in conferences and journals. The department has three research groups namely Data and Knowledge Discovery, Multimedia Computing and Communication, and Computer Vision. The groups are active and are conducting various activities such as workshops, seminars, and other events. 

Key features

  • Enhances learning experience with practical experience through internships, mini projects and practice school project work.

Core competencies

  • Software Engineering and Application development
  • Data and knowledge discovery
  • Image Processing
  • Multimedia Computing and Communication
  • Computer Vision
  • Artificial Intelligence and Virtual Reality

Collaborations

  • The department has an MOU with Athlone Institute of Technology, Ireland for research collaboration and student exchange. 
  • It is also a part of IAESTE for MCA students.

Infrastructure and Labs 

The department is located strategically in the fourth floor Innovation Center of MIT in Academic Block 4.  The department has ample number of classrooms on the fifth floor and provides dedicated lab facilities for running lab-associated courses to undergraduate/postgraduate/research programs.

Four computer labs are available for students to work on their course-based laboratory activities ranging from Network Programming, Operating System, Database Management and Information Retrieval, Machine Learning, General Purpose Programming, and Mobile Application Development.

Additionally, a separate research lab is available for the research scholars registered in the department.

The department also houses a Center for Virtual Reality for AR-VR based  research and live projects

Placement Details

Students of the department have successfully carried out final semester internships with Cerner Healthcare, Deloitte, Accenture, HackerEarth, MicroFocus,  TCS, AppyHigh, Philips Mphasis to name a few hiring MCA graduates. The department is well supported by the institute placement team of MIT. 

Programs

The Department of Data Science and Computer Applications, MIT offers the following programs:

 

MCA - Master of Computer Applications

BTech DSE - Data Science and Engineering

MTech Data Science

 

 

Faculty

Facilities

Laboratories

World-class laboratories give learning a practical dimension

Innovation Centre

State-of-the-art Innovation Centre to facilitate multi-disciplinary research

Libraries

Includes resources for reference and study                                                                 

Class rooms

AC classrooms fitted with LCD and audio-visual equipment

Research Laboratory

Wi-fi campus with modern computing and digital facilities

Research & Publications

In addition to their regular teaching work, the faculty members are actively involved in research works in various areas like data mining, network security, video coding and knowledge engineering, multimedia computing and communication, computer vision & machine learning and natural language processing.

Student Testimonials