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Apply Now | B Tech Computer Science & Engineering with specialization in Data Science

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B.Tech Specialization in Data Science | In Computer Science & Engineering

B Tech Computer Science & Engineering with specialization in Data Science is a dedicated course that helps the students attain in-depth knowledge of modern computer technologies with focus on Data Science that make them capable to provide solutions of problems through computer programming.
B. Tech in Computer Engineering with specialization in Data Science is one of the emerging fields which consist of a set of tools and techniques used to extract useful information from data. The programme encompasses data Science as an interdisciplinary, problem-solving oriented subject that learns to apply scientific techniques to practical problems.

Course Objective

  • To impart knowledge to the students about effective utilization of enormous data in creative ways to generate business value
  • To enable them to understand hidden insights based on Data which are significant for companies to make smarter business decisions
  • To understand the significance of Data management, tools and methodologies in sync with global industry’s demands
  • To enable them to contribute effectively in nation’s digital development

Course Outcome

  • Enabling students to use data for effective business decision making
  • Achieving efficiency in preparation of datasets and programming of data analysis tasks
  • Enabling students to gain industry exposure with practical classes and LIVE projects

Curriculum

1st Semester

Provides the knowledge of differential and integral calculus and enables understanding of linear algebra, linear programming and set theory.

Provides understanding of waves, optics, superconductivity and its applications and focuses on the physics behind optics and sound in our daily life.

Inculcate the knowledge of basic geometries, geometric tools, shapes and procedures used for engineering drawings and different concepts of theory of projections, development, sectioning

Students have practice in applying their knowledge of mathematics, science, and engineering and to expand this knowledge into the vast area of “rigid body Mechanics”. Students prepared for higher level courses such as courses in Mechanics of Solids, Mechanical Design and Structural Analysis. Analyze various machining processes and calculate relevant quantities such as velocities, forces, powers etc.

This subject help students to develop problem-solving skills to translate 'English' described problems into computer programs using the C language. It helps students to gain fundamental knowledge of general principles of computer programming languages such as input/output and arithmetic rules, conditional branching, looping, functions, array, structure, pointers for parameter passing, referencing and dereferencing, and linking data structures. Students also acquire fundamental knowledge on basics of computers hardware and number systems.

Introduction to the fundamental concepts of electricity and electronics that involve direct current, alternating current, series and parallel resistive circuits, inductance, capacitance, transformers, motors, electronic components, and various types of test equipment found in industry.

Provide exposure about optical and atomic physics phenomenon through experimental observations and focuses on interpretation and analysis of technical data.

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To converse fluently, without strain with international speakers of English in an accent and lexis that is widely understood across the globe They will be able to produce on their own texts that are coherent and clear and hence make them communicative at workplace. It is a diagnostic and remedial activity integrated with communication practice. Use vocabulary productively. Profitably use the grammar while producing language for communication.

2nd Semester

Provide the knowledge of various ordinary, partial differential equations and in-depth understanding of various analytical and numerical methods needed for solving different differential equations

Provides the insight of basic physics principles to be applied in engineering courses.

Elaboration of biological concepts with emphasis on effective utilization of biological principles for technology development by engineering students.

Provide basic introduction of environment and its various components and impart knowledge about the need, various policies and methods to protect environment.

An introduction to materials science with emphasis on general properties of materials. Topics will include crystal structure, extended and point defects, and mechanical, electrical, thermal and magnetic properties of metals, ceramics, electronic materials, composites and organic materials.

This course aims to help you develop the proficiency needed to succeed in today's technologically enhanced workplace by focusing on the development of professional oral and written communication skills.

Provide exposure about optical and atomic physics phenomenon through experimental observations and focuses on interpretation and analysis of technical data.

Gain practical exposure through different types of scientific programming problems and mathematical modeling. Students will able to solve wide range of engineering problems.

Introductory experimental laboratory explores the design, construction, and debugging of C programming. Develop students understanding about the core building blocks of a development framework.

Career Opportunities

Scope – B.Tech Computer Science & Engineering with specialization in Data Science

Data Science and Data Analysis are one of the emerging sectors in IT. There is high demand for students with proficiency in Data analysis and management. Students after completing this course get good opportunities to join some of the top brands and corporate houses across multiple industries such as IT/software companies, sales and marketing companies, academic institutions, journalism, content industry, engineering firms, etc.

Career Prospects

Here is a list of the major career options after pursuing engineering in this field:

  • Data Scientist
  • Data Analyst
  • Business Analyst
  • Data Engineer

Eligibility Criteria

Duration: 4 yrs.

The Candidates should have passed Senior Secondary (10+2) or an equivalent Examination in five subjects taken together including compulsory subjects of Physics, Mathematics and one subject of chemistry/ Biotechnology/ Biology/ Computer Science & English with 60% marks in aggregate (40% marks in case of SC/ ST Category).
Or
Should have passed with minimum 60% marks (40% in the case of SC/ ST category) in Diploma in Engg./ Tech., of three years or more duration from any recognized Board of Technical Education/ University or its equivalent Diploma examination.

Fees

Course Course Fee 
Indian (INR) International (USD)
Tuition Fee Development Fee
B.Tech Specialization in Data Science
1,00,000 20,000
-

Note:

  1. The Fee will have to be deposited at the time of Counselling.
  2. University Charges will be extra as per University norms.
  3. Fee once paid shall not be refunded under any circumstances.
  4. There will be an annual increase of 7% in tuition fee.
  5. Students Fund for all the students is Rs.2,000/- p.a.
  6. Life time Alumni Membership fee is Rs. 4,000/-.
  7. Hostel & Transport Charges will be extra.
  8. Students who wish to leave the Institute mid-stream, will have to deposit the fee for the remaining period of the course as per judgement of the Hon'ble Supreme Court in the case of Islamic Academy of Education and others Vs State of Karnataka & PA lnamdar case.

Top Recruiters

Here is a list of the major IT Companies visited in the campus for recruitment is:

  • Google
  • Facebook
  • Intel
  • The Boston Consulting Group
  • Reliance Industries Ltd
  • Capgemini
  • Philips
  • Myntra.com
  • SnapHunt
  • KPMG
  • Infosys
  • Mindtree Limited
  • Dell
  • Asian Paints
  • Gartner India Research Advisory Services
  • ZS Associates and many more

OUR CONTACT

  • Maharishi Markandeshwar (DEEMED TO BE UNIVERSITY) Mullana, Ambala (Haryana)
  • +91-1731-274475, 76, 77, 78 | Toll Free: 1800 2740 240
  • [email protected]

Admission Enquiry 2020

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