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Bachelor of Science in Data Analytics (Dual Degree Program)

Program Description

The Information Systems degree program focusing in Data Analytics equips students with the skills to gather, analyse, and interpret data for informed business decisions. Graduates excel in data mining, statistical analysis, and data visualization, enabling them to derive valuable insights from intricate datasets, ultimately contributing to organizational success through data-driven decision-making.

Career Opportunities

Program Outcome

Upon completing the Information Systems degree program with a focus on Data Analytics, students will possess the ability to collect, analyse, and interpret data to support effective business decision-making. They will be proficient in data mining, statistical analysis, and data visualization techniques, enabling them to extract valuable insights from complex datasets to drive organizational success.

Bachelor of Science in Data Analytic

Program Structure
Required Total Credits (122)
General Education
35
Major
9
Core Major
27
Electives
51

Students are required to complete 35 credit hours of General Education courses.

Students select courses from the list of General Education requirement section of the Catalog.

Course Code
Course Name
Credit
INF 250
Introduction to Web Development
3
INF 300
Foundations of Informatics
3
ITM 340
Maths for Computing
3
Course Code
Course Name
Credit
INF 304
Management Information Systems
3
INF 315
Enterprise Resource Planning
3
INF 330
Business Intelligence
3
INF 360
Programming with Python
3
INF 405
Research Methods in Informatics
3
INF 430
Technology Innovation and Entrepreneurial Leadership
3
INF 490
Capstone Seminar in Informatics
3
INF 604
Data Analysis I
3
INF 610
Public Policy, Ethics and Law in Information Networking
3
Course Code
Course Name
Credit
ICT 405
Ethical Hacking
3
INF 140
Introduction to Electronic Media
3
INF 650
Introduction to Human-Computer Interaction
3
INS 310
Introduction to Data Analysis
3
INS 320
Data Preparation and Cleaning
3
INS 330
Advanced Statistics for Data Analysis
3
INS 340
Data Analysis using Python
3
INS 350
Time Series Analysis
3
INS 360
Data Interpretation and Reporting I
3
INS 370
Data Interpretation and Reporting II
3
ITM 360
Artificial Intelligence
3
ITM 380
Cloud Computing
3
ITM 381
Cloud Solutions Architect
3
ITM 390
Machine Learning
3
ITM 454
Natural Language Processing
3
ITM 475
Final Year Project
3
INTS 400
Internship
3

Graduation Requirements: Students must have 2.00 GPA in all coursework (AUPP and FHSU) and meet the required total credits.