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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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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

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Course list

Core courses

IT CORE COURSE

  1. Information Technology Essentials
  2. Introduction to Statistical Analysis
  3. Applied Statistics for Optimization
  4. Discrete Mathematics 
  5. Database Design & Management Systems
  6. Technical Writing and Communication
  7. Introduction to Data Communication Networks
  8. Computer Networking Concepts, Administration & Security
  9. Capstone Project
  10. Computer Hardware Fundamentals
  11. Cloud Computing
  12. Advanced Network Management
  13. Essentials of Information Security Management
  14. Introduction to Management Information Systems
  15. Access Controls
  16. Data Structures and Algorithm
  17. Software Engineering
  18. Calculus for Computing
  19. Web Design and Development
  20. Numerical Method
  21. Operating Systems
  22. Advanced Programming Concepts
  23. Distributed Systems Design and Development

BUSINESS COURSE

  1. Introduction to Leadership
  2. Foundations in Operations Management

GENERAL EDUCATION COURSE

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