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BSIT Data Science

The Data Science Bachelor of Science in Information Technology (BSIT) degree program focuses on addressing business challenges and creating new opportunities with technology. The students pursuing this program will gain the necessary skills to solve business challenges through data analysis using Information Technology. The objective of the program is to produce graduates who can utilize Information Technology to carry out data analysis and solve business problems.

What will you learn?

Programming, Descriptive Analytics, Predictive Analytics, Prescriptive Analytics, Machine Learning Algorithms, Artificial Intelligence, Critical Thinking, and more.

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4 YEARS

120 CREDIT HOURS

Enrollment Requirements

Career Pathways

This program is designed to prepare for a career in

  • Data Scientist
  • Machine Learning Engineer
  • Machine Learning Scientist
  • Data Analyst
  • Business Analyst
  • Business Intelligence (BI) Developer
  • Project Manager
  • System Analyst
  • Statistician
  • Data Architect
  • Data Engineer
  • Policy Researcher

Course list

Core courses

IT CORE COURSE

    1. Capstone Project 
    2. Introduction to Data Analytics
    3. Applied Statistical Analytics
    4. Database Design & Analytics
    5. Introduction to Technology
    6. Technology and Systems
    7. User Experience and User Interface (UX/UI)
    8. Information Security 
    9. Technical Documentation and Communication 
    10. Internet of Things (IoT)
    11. Emerging Technologies
    12. Discrete Mathematics 
    13. Introduction to Networking
    14. Network Routing and Switching
    15. Cloud Computing
    16. Data Structures & Algorithms Design 
    17. Programming in the Cloud
    18. Software Quality, Architecture, and Documentation
    19. Advanced Python
    20. Models of Computation 
    21. Calculus for Computing
    22. Distributed Systems
    23. Operating Systems
    24. Numerical Methods 

BUSINESS and INTEGRATIVE STUDIES COURSE

  1. Essentials of Entrepreneurship
  2. Composition 1
  3. Composition 2
  4. College Algebra
  5. Creating a Sustainable World: Technology & Energy Solutions
  6. Academic Communication
  7. The Impact of Art: Visual, Media & Design
  8. Personal Finance
  9. Speech, Debate, and Ethics
  10. Integrative Studies Capstone
  11. Psychology, Motivation, & Decision-Making

Specialization/elective courses

SPECIALIZATION IN DATA SCIENCE

  1. Fundamentals of Artificial Intelligence
  2. Machine Learning and Deep Learning
  3. Linear Algebra for Data Science
  4. Programming Fundamentals of Data Science
  5. Data Analytics & Visualization using R/Python

Affiliated to Westcliff University, California.

Accredited by the WASC Senior College and University Commission

ACBSP Accredited

Approved by the Ministry of Education, Government of Nepal

Recognized by Tribhuvan University

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