M.Tech (Computer Science)
The M.Tech (Computer Science) programme is designed to provide a strong foundation in the basic concepts of computer science without sacrificing the flexibility needed to meet the rapidly changing needs of the current IT industry. The course structure reflects these two underlying themes - the core courses, mandatory to all the students provide a solid background in the field; the electives, reflecting the state-of-the-art, allow different students to pursue their own areas of interest.
The vast choice of electives is carefully chosen to equip students with sufficient knowledge and prepare them to take on challenges of the IT field. Several of the electives are geared towards meeting the needs of the industry while others offer something to those students wishing to proceed for advanced studies. The subjects and the courses are constantly under review, and companies and institutions are encouraged to give feedback to make our programmes more compatible with the needs of the Indian society.
M.Tech (Information Technology)
M.Tech (Information Technology) is a four semester programme including two semesters of course work and two semesters of project work.This programme is meant for graduates in engineering discipline and postgraduates in related sciences and as such it includes both fundamental and advanced topics for specialization in Banking Technology and Information Security.
This unique M.Tech programme in Information Technology with specialization in Banking Technology and Information Security, aims at imparting in-depth knowledge and state-of-the art expertise to the students through innovative learning supported by higher caliber research and technology leadership to create a pool responsible and resourceful IT professionals, in particular for the financial-banking sector.
M.Tech (Artificial Intelligence)
Complex problem solving in the real-world is often different from academic approaches in that it involves expert judgment, inexact and thumb-rule solutions, search for trade-offs between different factors, etc. These types of approaches were found difficult to model mathematically and to develop analytical solutions. Artificial intelligence, originally aimed at making computers behave like humans, began to evolve by late 1970s and early 1980s towards systematizing the study of human approaches to solving complex problems. Expert systems, advanced search and optimization techniques, heuristics and heuristic algorithms, fuzzy logic, etc. arose from such a marriage between computer science and practical problem solving.
M. Tech course in Artificial Intelligence at University of Hyderabad is the only one of its kind in the country. It was originally designed to expose students with an undergraduate degree in Computer Science to a systematic study of advanced problem solving techniques and to the latest research problems at the interface between humans and computers. Over the years, admission has been extended to students from non-CS disciplines too, but the basic goals, philosophy and course structure remain the same
Master of Computer Applications
The MCA programme, started in 1983, is the first ever such programme offered by a University in the country. Today it is recognized as one of the very best in the country. The MCA programme is extremely popular and attracts nearly 5000 applications from all over the country for the available 40 seats. Prestigious software and management firms, both Indian and MNCs, employ our students.
The programme is designed to produce a dynamic breed of computer professionals possessing excellent managerial skills. The course provides a broad based education combining Computer Science courses with Mathematics and Management subjects. This makes the students capable of holding various positions in the industry such as System Analyst, System Designers and Programmers in any area of Computer Applications. The overall development of the students is achieved through equal emphasis on training in theory and practice.
The intense training of this course involves five semesters of course work with an appropriate blend of core courses and electives. The electives offered by the department in the fourth and fifth semesters, provide the students with necessary exposure to current trends in industry. Inter disciplinary electives are offered to encourage all round personality development of the students. In the final semester, students apply the knowledge gained during the course work to real-world Computer Science problems. Along with the regular course curriculum, students are encouraged to participate in seminars and make presentations on topics both within and beyond the regular curriculum.
Research Areas
The Ph.D. programme is offered on full time, part time and external registration basis as per the University regulations. An idea about the areas of research can be obtained from the faculty profile and research activites of the department.
The department carries out advanced research and development in many frontier areas of Computing Sciences, Information Sciences, Artificial Intelligence and Cognitive Science. Some of the broad areas of research are:
• Computer Vision, Image Processing, Pattern Recognition
• Theoretical Computer Sciences
• Neural Networks, Cognitive Modeling
• Parallel & Distributed Computing
• Grid & Cloud Computing
• Databases, Expert Systems
• Decision Support Systems
• Natural Language Processing, Language Engineering
• Speech Technologies
• Internet and Web technologies
• Mobile Computing
• Wireless Sensor Network
• Bio-Informatics