Malla Reddy College of

Engineering & Technology

Autonomous Institution - UGC, Govt. of India
CSE- Data Science


About the Department:

The Department of Computer Science and Engineering – Data Science is established in the year 2020. This B.Tech program in Computer Science and Engineering (Data Science) is specifically designed and offered by the department of Computer Science and Engineering in response to the rapidly developing field of Data Science. This program has been started with an intake of 60 in the year 2020.

Data Science is an emerging area of Computer Science and Engineering (CSE). The B.Tech Program in Computer Science and Engineering has been accredited by National Board of Accreditation (Tier-1) and National Assessment and Accreditation Council (NAAC) with A grade.

Data science is a relatively new emerging and an interdisciplinary field of Computer Science. It concerned with the collection, preparation, analysis, visualization, management and preservation of large collections of information aiming at generating value from the data itself. Today, successful data professionals should master the full spectrum of the data science life cycle and programming skills. The Department has state-of-the-art infrastructure, computing equipment supported by high-speed internet and wireless networks and highly qualified and experienced teaching faculty with quality publications in Scopus, web of science etc. “Centre of Excellence” has been established for the research activities, patents and consultancies. Technology Business Incubator (TBI) which helps technology-based start-ups has also been established.

Program Goals:

The goals of the department are to:
  • Develop in depth understanding of the key technologies in data science and business analytics: data mining, machine learning, visualization techniques, predictive modelling and statistics.
  • Practice problem analysis and decision-making.
  • Maintain a healthy enrolment, student retention, and a supportive and flexible learning environment to accommodate student’s individual backgrounds, needs and aspirations.
  • Gain practical, hands-on experience with statistics programming languages and big data tools through coursework and applied research experiences.

  • CAREER OPPORTUNITIES AFTER COMPLETION OF THE COURSE :

  • Data Scientist
  • Data Analyst
  • Data Specialist
  • Data Administrator
  • Data Engineer
  • Data Architect
  • Data Consultant
  • Business Analyst