B.Tech Computer Science & Engineering (Specialization in Data Analytics)

Admission Inquiry

As per Team Lease Services – a staffing arrangements company – by 2020, India will confront a demand-supply hole of 2,00,000 data-analytics experts. Analytics is everywhere. Entire businesses are redefined through data usage. Even the ones that were already redefined face more redefinitions through advertising and other direct/indirect ways of promotion/canvassing. Business analytics is a space which needs profoundly gifted individuals in the regions, for example, big data, statistics, analytics, probability, administration, IT segments and so on.

The B Tech CSE Data Analytics course of GLA University provides in-depth knowledge of various Data Analytics skills e.g. mathematical reasoning, statistical skills, machine learning skills, programming skills, knowledge discovery skills, business intelligence, data mining & data warehousing skills. With data size increasing in most of the companies, there is a huge requirement of deserving candidates in this domain. You can have an exciting career after graduating from GLA University.

Program Outcomes (Common to All B.Tech Programmes)

PO1. Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to 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 the specified needs with appropriate consideration for the public health and safety, and the 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 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 the 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: Recognize 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 Educational Objectives (PEOs)

PEO1: Become globally competent computer professionals, researchers or entrepreneurs, for developing sustainable solutions.

PEO2: Attain positions of leadership in an organization and /or on teams.

PEO3: Engage in lifelong learning to improve their professional skills and knowledge to address industrial and societal needs using latest technologies.

Program Specific Outcomes (PSOs)

PSO1: Solve real world problems using competency in computational logic, analytical ability, system design principles and programming skills.

PSO2: Design and develop hardware and software interfaces along with latest tools and technology to meet the needs of industry.

PSO3: Analyze the algorithmic principles, theory of computation, applied database management systems and mathematical foundations for the modeling and design of computing systems.

PSO4: Apply knowledge to provide innovative solutions to existing problems and identify research gaps.

Apply Admission Help Syllabus

Career Prospect

  • Data Engineer
  • Quantitative Analyst
  • Data Analytics Consultant
  • Operations Analyst
  • Marketing Analyst
  • Project Manager
  • IT Systems Analyst
  • Transportation Logistics Specialist
  • Business Intelligence Analyst
  • Data Analyst
  • Data Scientist
  • Digital Learning Data Analyst

 

  • Duration

    4 years
  • Course Fee

    1st Year : 2,01,000/- INR
    2nd Year : 2,04,000/- INR
    3rd Year : 2,07,000/- INR
    4th Year : 2,10,000/- INR

  • Eligibility

    Passed 10+2 examination with Physics and Mathematics as compulsory subjects along with Chemistry /Computer Science. With at least 60% marks in the above subjects, taken together and 50% marks overall.

  • Admission Process

    Applicants will have to go through the following process:

    • On the basis of performance in the online Multiple Choice Question (MCQ) test of 2 hours duration and personal interview.

Achievers

Placements

  • 500

    MNCs with salary packages ranging from 4.5 to 44 lakhs PA(batch 2022) and still counting...

  • 3000

    Placements offers (batch 2022) & still counting...

  • 76

    Average placement over the last 10 years

  • 44

    Highest package offered