CSE – Data Science

About CSE DS Department

The Department of Computer Science and Engineering (Data Science) at DRK Institute of Science and Technology was established in 2020 to meet the growing demand for data-driven technologies and analytics expertise. With an intake of 120 students, the department aims to produce highly skilled data scientists, analysts, and AI engineers who can harness the power of data for decision-making, automation, and predictive analytics.

The department is committed to providing a strong academic foundation in data science methodologies, statistical analysis, and artificial intelligence. It integrates theoretical concepts with practical applications, ensuring that students develop a problem-solving mindset to tackle complex challenges in business, healthcare, finance, and technology sectors.

Vision

To be a center of excellence in data science education and research, driving insights and solutions for complex real-world problems.

Mission

To equip students with advanced knowledge in data analysis, machine learning, and artificial intelligence, preparing them for evolving industry demands. To foster research and innovation in data-driven solutions that address industry and societal challenges through interdisciplinary collaboration. To develop responsible professionals with critical thinking abilities, enabling them to make data-informed decisions for the betterment of society.

Academic Excellence and Curriculum

The Data Science curriculum is meticulously designed to align with AICTE and JNTUH guidelines, incorporating the latest trends in the data-driven economy. The syllabus includes:

  • Fundamentals of Data Science and Big Data Analytics
  • Machine Learning and Deep Learning
  • Artificial Intelligence and Natural Language Processing (NLP)
  • Data Visualization, Business Intelligence, and Predictive Analytics
  • Cloud Computing, Edge Computing, and IoT Integration
  • Cybersecurity and Ethical Hacking for Data Protection

The department follows a hands-on learning approach through real-time datasets, projects, and live case studies. Students are encouraged to publish research papers and contribute to open-source projects, enhancing their practical exposure and industry readiness.

One of the best practices in the department is the weekly assessments and project-based learning, ensuring continuous improvement and skill enhancement. Final-year projects are research-oriented, addressing real-world challenges through innovative data-driven solutions.

State-of-the-Art Infrastructure and Labs

The CSE (Data Science) department is equipped with cutting-edge facilities to support high-end computing and data analytics. Key features include:

  • Dedicated Data Science and AI Labs with high-performance computing systems.
  • Cloud Computing and Big Data Labs for hands-on exposure to tools like Hadoop, Spark, and AWS.
  • Smart Classrooms integrated with AI-powered learning solutions.
  • A well-stocked Library with an extensive collection of research journals, books, and online databases like IEEE, Springer, and ACM.

The department regularly updates its infrastructure to ensure students get practical exposure to the latest industry tools, including Python, R, TensorFlow, Tableau, Power BI, and Scikit-learn.

Faculty Expertise and Research

The faculty members in the CSE (Data Science) department are highly qualified professionals with rich academic and industry experience. Faculty members are actively engaged in:

  • Publishing research papers in high-impact international journals related to AI, machine learning, and big data analytics.
  • Conducting faculty development programs (FDPs) on advanced AI and data science trends.
  • Guiding students in research projects, ensuring a strong foundation in analytics and statistical modeling.

The department promotes interdisciplinary research collaborations with renowned institutions and industry leaders, focusing on:

  • Healthcare analytics and predictive disease modeling
  • Financial risk assessment and fraud detection
  • Supply chain optimization and data-driven decision-making
  • Autonomous AI-powered systems

Internships, Industry Collaborations, and Placements

The department actively collaborates with industries and research institutions to offer students internships and placement opportunities. Students have completed internships at IIT Guwahati, gaining hands-on experience in real-world AI and data science applications.

Key industry engagements include:

  • Workshops and technical training sessions by experts from Microsoft, Google, Amazon, and IBM.
  • Hackathons, coding competitions, and AI challenges, preparing students for problem-solving in the AI-driven industry.
  • Capstone projects in collaboration with MNCs, allowing students to work on live projects and real-time data challenges.

The department boasts a strong placement record, with students securing positions in top-tier tech firms such as:

  • Amazon, TCS, Capgemini, Deloitte, IBM, Cognizant, and Accenture.
  • Startups and research firms focusing on AI-driven solutions and automation.

Holistic Development and Student Engagement

Beyond academics, the department actively encourages students to participate in extracurricular activities to develop leadership, teamwork, and analytical thinking skills. Key initiatives include:

  • Technical fests, coding hackathons, and AI/ML challenges.
  • Participation in AI and Data Science Conferences to present student research.
  • National Service Scheme (NSS) activities promoting community-driven projects using AI and data analytics.
  • Entrepreneurship and Startup Incubation Support, encouraging students to develop AI-powered startups and projects.

PEO’s, PO’s and PSO’s

Computer Science and Engineering Graduates will be able to
PO1. Engineering knowledge: Apply the knowledge of basic sciences and fundamental engineering concepts in solving engineering problems.
PO2. Problem analysis: Identify and define engineering problems, conduct experiments and investigate to analyze and interpret data to arrive at substantial conclusions.
PO3. Design/development of solutions: Propose an appropriate solution for engineering problems complying with functional constraints such as economic, environmental, societal, ethical, safety and sustainability.
PO4. Conduct investigations of complex problems: Perform investigations, design and conduct experiments, analyze and interpret the results to provide valid conclusions.
PO5. Modern tool usage: Select or create and apply appropriate techniques and IT tools for the design & analysis of the systems.
PO6. The engineer and society: Apply to reason 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: Demonstrate professional skills and contextual reasoning to assess environmental or societal issues 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 multi-disciplinary situations.
PO10. Communication: Communicate effectively among engineering community, being able to comprehend and write effectively reports, presentation and give / receive clears instructions.
PO11. Project management and finance: Demonstrate and apply engineering & management principles in their own / team projects in multidisciplinary environment.
PO12. Life-long learning: Recognize the need for, and have the ability to engage in independent and lifelong learning.

PSO1: Foundation of mathematical concepts: To apply mathematical methodologies to crack problem using appropriate mathematical analysis, data structure and efficient algorithms.
PSO2: Foundation of computer system: An ability to design and develop hardware and software in emerging technology environments towards System programming.
PSO3: Foundations of Software development: Enable to grasp the software development lifecycle and methodologies of software systems. Associate with practical proficiency in the broad area of programming concepts and provide new ideas and innovations towards research.

The Program Educational Objectives define future roles for which we are preparing our students by studying four years of undergraduate engineering program. The major objectives for the Department are:

PEO-1: Provide graduates with both fundamental and advanced knowledge of computer science and engineering that prepares them for excellence, leadership roles along diverse career paths, and integrate ethical behavior.
PEO-2: Provide graduates to design and implement solutions for rapidly changing computing problems and information system environments.
PEO-3: Provide graduates for life-long learning to adapt to innovation and change, and be successful in their professional and research work.

HOD Profile

Mr.JACOB JAYARAJ G

M.Tech(CS), (Ph.D)
HOD CSE-Data Science

Years of Experience: 19 Years
JNTUH ID : 8451-150415-192421
Qualification: M.Tech(CS), (Ph.D)
Joining Date  : 12.02.2018

Department Faculty

S NONAMEJNTUH IDQUALIFICATIONDESIGNATION
1Dr.PREM KIRAN RAJA BARRY3908-180129-122453Ph.DProfessor 
2Dr P MADHURI2141-160311-173346Ph.DProfessor 
3Mr.JACOB JAYARAJ GOLLAMUDI8451-150415-192421M.TechProfessor & HOD
4Mrs.ANUSHA KOREPU3994-160122-095450M.TechAssociate Professor
5Mrs.DUDDUKUNTA KOTESWARAMMA VENKATA6712-190216-153909M.TechAssistant Professor
6Mr.KRANTHI KUMAR PRATAPAGIRI4919-210706-202153M.TechAssistant Professor
7Mr.VALPADASU PHANINDER M.TechAssistant Professor
8Mrs.RAMADEVI AREKATLA0192-150416-085621M.TechAssistant Professor
9Mrs.VASANTHA CHENNOJI0830-230414-120217M.TechAssistant Professor
10Mrs.KAMPA SUMALATHA4283-160229-173803M.TechAssistant Professor
11Mr.G CHINNA RAMALINGA REDDY9946-160304-153127M.TechAssistant Professor
12Mrs.VIJAYAGIRI MANASA1750-170126-113309M.TechAssistant Professor
13Mrs.SALENDRA HARIKA4967-230413-163708M.TechAssistant Professor
14Mrs. ANJALI GORUKANTI5503-190506-122912M.TechAssistant Professor

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