Data Science
- 2 Years / Online
- Intakes: Jan, Apr, Jun, Oct
Overview
The Data Science program at Athar University equips students with the analytical, computational, and statistical skills required to extract insights from data and build intelligent systems. The program integrates mathematics, programming, machine learning, data visualization, and real-world applications across various industries such as business, healthcare, finance, marketing, cybersecurity, and artificial intelligence.
Students work with real datasets, learn modern tools such as Python, SQL, machine learning libraries, cloud platforms, and data engineering pipelines — preparing them for a rapidly evolving data-driven economy.
Career Opportunities
Graduates of the Data Science program can pursue roles such as:
Data Scientist
Data Analyst
Machine Learning Engineer
Business Intelligence Analyst
AI Specialist
Data Engineer
Quantitative Analyst
Product Data Analyst
Research Scientist
Analytics Consultant
Many graduates continue to advanced studies in artificial intelligence, statistics, computer science, or big data engineering.
Program Learning Outcomes
Students completing this program will be able to:
Apply statistical and mathematical models to analyze datasets.
Use Python, SQL, and data-analysis tools to extract, clean, and process data.
Build machine learning models for prediction, classification, clustering, and optimization.
Visualize and communicate insights effectively to technical and non-technical audiences.
Work with big data technologies and cloud-based platforms.
Understand data ethics, governance, and responsible AI principles.
Design end-to-end data pipelines for real-world applications.
Programme
Semester 1
| Course Title | Credits | Number |
|---|---|---|
| Introduction to Data Science | 4 | ATHR 201 |
| Python for Data Analysis | 4 | ATHR 210 |
| Applied Statistics | 2 | ATHR 215 |
Semester 2
| Course Title | Credits | Number |
|---|---|---|
| Data Wrangling & SQL Databases | 4 | ATHR 220 |
| Probability & Statistical Inference | 4 | ATHR 225 |
| Data Visualization & Storytelling | 2 | ATHR 230 |
Semester 3
| Course Title | Credits | Number |
|---|---|---|
| Machine Learning | 4 | ATHR 310 |
| Big Data & Cloud Technologies | 4 | ATHR 320 |
| Business Intelligence & Analytics | 2 | ATHR 330 |
Semester 4
| Course Title | Credits | Number |
|---|---|---|
| Deep Learning Fundamentals | 4 | ATHR 410 |
| Data Engineering Pipelines | 4 | ATHR 420 |
| Capstone Project in Data Science | 2 | ATHR 499 |
| Total Credits |
|---|
| 120 Credits |
How to Apply?
- You Apply
Tell us a little about yourself and we’ll help with the rest. Our convenient online application tool only takes 10 minutes to complete.
- We Connect
After you submit your application, an admissions representative will contact you and will help you to complete the process.
- You Get Ready
Once you’ve completed your application and connected with an admissions representative, you’re ready to create your schedule.