Department of Data Science

Welcome to the department of Data Science Malla Reddy University, on behalf of the faculty members, staff, and students the field of Data Science is a diverse field which has a significant role in the development of cutting edge technology. The curriculum at the Department of Data Science is meticulously planned and continuously updated in way to incorporate the various demands of the IT industry trends. An exposure to real world problems in this era of technology is a must and every student is provided with the right environment to shape into a confident individual having the necessary skill set to fit in any role at the industrial market. The excellent infrastructure and the highly qualified faculty with huge expertise in the department lay the foundation for a professional learning experience, and the department ensures a career-oriented future through Industry internships, certification courses, and workshops. Higher Studies is a strongly recommended option for students with research aptitude and the department makes every effort to nurture this by grooming them for a research-oriented career. The members of the department are known for their unmatched determination and academic excellence.

 

The Department of Data Science and Analytics aims to train students in the rapidly growing field of Data Science, to be a vibrant research hub in this area, and to collaborate with other disciplines to evaluate, analyse, and utilise the vast amounts of scientific, social, and financial data streaming in every second.

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Vision

The Vision of the department is to produce competent graduates suitable for industries and organizations at global level, and development with Social responsibility.

 

Mission

To Impart Quality Education with social consciousness and make them Globally Competent. To inculcate in the students to pursue careers in industry, academic and research.

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Unique

Focus Areas

• Deep Neural Networks

• Reinforcement Learning

• Chat bots, Virtual Assistants

• Speech Technologies

• Computer Vision

• Natural Language Processing

• Robotic Applications

• Data Science & Big Data

 

Innovative Pedagogies

• On-demand video lecture streaming

• Cloud based tools for online teaching.

• Discussion forums for doubts clarification

• Course projects towards realizable prototypes.

 

Skill Development

• Coding skills: Programming skills in C, Java, Python (Tensorflow, Keras), OpenCV etc.

• Hardware skills: Ardunio, Raspberry Pi Boards.

• Soft skills: Hobby clubs

 

Internships & Placements

• Internships in industries

• Entrepreneurship cell

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Programs Offered

UG Program

B.Tech Computer Science and Engineering (Data Science)

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PG Program

M.Tech. (Big Data Analytics)

 

Admissions

Data Science is a unique area of study and requires a tailor-made approach to fit each field. Data Science program focuses on the emphasis areas that best fit your company and career. The Data Science department's have many strengths that include its high faculty-to-student ratio, state of the art facilities, renowned faculty, strong focus on undergraduate education balanced with leading-edge research, and emphasis on leadership, service, and ethics. Faculty and students often collaborate on projects, working side-by-side with researchers from other colleges and departments across the campus, such as the College of Science and the Departments of Physics and Mathematics. In addition to the excellent faculty and quality research opportunities available through the department, there is a real sense of community and teamwork here.

 

Curriculum

In the Department, the following areas of research are highlighted under research groups internally, Artificial Intelligence, Deep Learning, Natural Language Processing, Cryptography and Network Security, Automata and Compiler Design, Data Structures, Object Oriented Programming, Enterprise Programming ,Big Data Analytics, Data Science, Big Data Optimization, Graph and Web Analytics. Computation which will focus on programming, data structures, computer systems, and methods.

Data Analysis which will focus on data exploration, analysis, prediction, inference and algorithms.

Practice aimed to impart workplace skills, ethical standards, and awareness of data science to date.

 

UG Research opportunities

Students are involved in research projects in various domains where the faculty are working on cutting edge technology

 

Online Learning

Codetantra, IBM courses where It deals with designing and developing computer software and hardware processes. Through this course, the students will be able to understand, learn and use different programming languages, networking etc. Many more certifications are planned.