Bachelor of Technology [B.Tech] (Data Science): Syllabus, Top Colleges, Job Prospects

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Bachelor of Technology [B.Tech] (Data Science) Course Details, Eligibility, Syllabus, Top Colleges, Job Prospects | StepInCollege

Bachelors in Computer Science, also known as BTech in Data Science, is a 4-year undergraduate degree program in Technology offered by a number of colleges and institutions.  BTech Data Science is a rapidly evolving field that encompasses data science as a problem-solving discipline. The curriculum exposes students to issues that will assist them in making educated decisions. Students who pursue a BTech in Data Science learn how to apply machine learning methods, algorithms, software, business acumen, and mathematics to raw data in order to extract useful knowledge. In short, Data Science incorporates technology, algorithm creation, and data interference to solve complex problems analytically. Students are taught how to incorporate business knowledge, techniques, and statistics to create business value in novel ways over the course of the program.

B.Tech Data Science Eligibility Criteria

  • They passed their class XIIth qualifying exam with at least a 70% aggregate from a recognized Board.
  • They passed their class Xth exam with at least a 60% aggregate from a recognized Board.
  • Achieved a composite score of at least 60% in PCM+Computer Science/PCB.
  • At least a respectable 50% in mathematics at the qualifying stage

BTech Data Science: Entrance Exams

  • SUAT 2020: Sharda University Online Admission test
  • JEE Mains 2020: JEE (Joint Entrance Exam)
  • UPSEE
  • NPAT

B.Tech Data Science Syllabus

Semester - I: Principles of Electrical and Electronics Engineering, Computer-Aided Design and Drafting, Engineering Physics, Maths I, Programming for Problem Solving, Introduction to Artificial Intelligence and Machine Learning, Soft Skill I

Semester-II: Application-Based Programming in Python, Mechanical Workshop, Engineering Chemistry, Advanced Physics, Maths II, Soft Skill II, Multimedia Application Lab

Semester - III: Building Essential Language and Life Skills, OOPS Using JAVA, Data Structures Using C, Computer Organization and Architecture, Discrete Structures, Introduction to Biology for Engineers, Applied Statistical Analysis, Industrial Internship, Project Based Learning I

Semester - IV: Communication to Conquer, Data Acquisition, Advance JAVA Lab, Environmental Science, Database Management System, Computer Networks, Principles of Operating System, Project Based Learning II, Management Course

Semester - V: Impress 2 Impact, Data Warehouse, Software Engineering and Testing Methodologies, Theory of Computation, Design and Analysis of Algorithm, Project Based Learning III, Programme Elective I, Industrial Internship II, Open Elective I, Technical Skill Enhancement Course I

Semester - VI: Data Mining, Open Elective II, Project-Based Learning IV, Programme Elective III, Programme Elective II, Technical Skill Enhancement Course II, Artificial Intelligence, Compiler Design, Ace the Interview

Semester - VII: Business Intelligence, Campus to Corporate, Open Elective III, Industrial Internship, Professional Ethics and Values, Comprehensive Examination, Major Project I, Web Technologies, Programme Elective IV

Semester - VIII: Big Data Analysis, Universal Human Ethics and Values, Open Elective IV, Programme Elective VI, Programme Elective V, Major Project II

BTech Data Science: Top Institutes/Colleges

  • Sharda University, Uttar Pradesh
  • NMIMS University (Mukesh Patel School of Technology Management and Engineering), Mumbai
  • Jagannath University, Rajasthan 
  • JIET Institute of Design and Technology, Jodhpur
  • Glocal School of Science and Technology, Uttar Pradesh

B.Tech Data Science Career Options and Job Prospects: BTech Data Science graduates have a wide variety of employment openings and career prospects. As a BTech Data Science graduate, you can work in a number of fields, including education, artificial intelligence companies, multinational corporations, and more.

  • Clinical and Pharmaceutical Analyst
  • Data Science Consultant
  • Data Engineers
  • Data Architects
  • Data Technologies Specialist
  • Financial Modeler
  • Data Ecologists
  • Data Visualizers
  • Database Administrators
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