UPDATES

* B.Tech 2020-24 Batch Placements: 510 Students placed in Accenture | 404 Students placed in Capgemini | 60 Students placed in KPIT     * Hearty congratulations to the winners (A.Vaishnavi, G.Sahruthi, C.Harshini of IV CSE-AIML and G.Rishwitha, G.Abhinaya, G.Meghana of III ECE) of MSME IDEA HACKATHON 3.0 (WOMEN).     * Hearty congratulations to the winners (students of II.B.Tech CSE-CS of MRECW) of Smart India Hackathon 2023.     * Hearty congratulations to the winners (students of II.B.Tech CSE-CS of MRECW) of Smart India Hackathon 2023 III B.Tech CSE Students won 1st prize (Aayushi Hotta, B Sneha, C Aditi, PVS Lakshmi Anuhya) and 3rd prize (D.Sri Sravya, B.Manasa, N.Nayana Latha, T.Nalini Devi) in ImmerseTech AR-VR HACKATHON conducted by JTBI. & Accredited by NAAC with ‘A+’ Grade. National Ranking by NIRF Innovation – Rank band (151-300), MHRD, Govt. of India. Ranked 13th in Top Emerging Engineering Colleges of Super Excellence by CSR Rankings-2024. Ranked 9th in Top Engineering Colleges of Eminence by GHRDC Engineering Colleges Survey-2024.

Home » Department of CSE- DATA SCIENCE

Department of CSE- DATA SCIENCE

Vision:

  • The vision of the Department of CSE-Data Science is to prepare students to become data analytics experts and researcher for global competency and contribute to the field of data science by providing complete solutions in societal aspects by expanding their capability and innovate through world-class research

Mission:

  • To develop industry oriented environment by providing state-of-art infrastructure to compete in data-driven world.
  • To empower students to provide innovative and intellectual solutions through data analytical skills.
  • To build data intensive system through socio-economic aspect by promoting cross-disciplinary thinking that expands expertise in cutting edge technologies and acquire professional ethics.

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). 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

Programmable Educational Objectives - PEOs

PEO1 - INTUITION

  • To make students competent for higher studies and employable, to meet industrial requirements.

PEO2 - CORE COMPETENCE

  • To develop students having core competence in science, mathematics, statistics and fundamentals of Data Science to address ever changing industrial requirements globally.

PEO3 - BREADTH

  • To create academically conducive environment to learn engineering skills in the domains such as Data Analytics, Data Modelling, Data Visualization and Allied Technologies.

PEO4 - Professionalism

  • To enrich students with professional ethics, leadership qualities, and entrepreneurial skills.

PEO5 - LIFE LONG LEARNING

  • An ability to engage in lifelong learning for effective adaptation to technological developments.

Program Outcomes

PO1

Engineering knowledge

Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization for the solution of complex engineering problems.

PO2

Problem analysis

Identify, formulate, research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.

PO3

Design / development of solutions

Design solutions for complex engineering problems and design system components or processes that meet t h e specified needs with appropriate consideration for public health and safety, and cultural, societal, and environmental considerations.

PO4

Conduct investigations of complex problems

Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.

PO5

Modern tool usage

Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools, including prediction and modelling to complex engineering activities, with an understanding of the limitations.

PO6

The engineer and society

Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal, and cultural issues and the consequent responsibilities relevant to the professional engineering practice.

PO7

Environment and sustainability

Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.

PO8

Ethics

Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.

PO9

Individual and team work

Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.

PO10

Communication

Communicate effectively on complex engineering activities with the engineering community and with t h e society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.

PO11

Project management and finance

Demonstrate knowledge and understanding of t h e engineering and management principles and apply these to one's own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.

PO12

Life-long learning

Recognise the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.

Program Specific Outcomes - PSOs

PSO3

Apply the skills in the areas of healthcare, education, agriculture, intelligent transport, environment, smart system and in the multi-disciplinary area of data science.

PSO2

Demonstrate engineering practice learned through industry internship to solve live problems in various domains. Software applications for problem solving .

EAMCET/ICET CODE: MRCW