Bachelor's Major
Data Science
The Bachelor of Science in Data Science is a high-intensity fusion of mathematical statistics and high-performance computing. Moving beyond simple analytics, this major focuses on 'Mathematical Fortune Telling'—using probability, linear algebra, and neural networks to predict outcomes and discover hidden patterns in massive, unorganized datasets. It is a rigorous path for students who want to build the predictive engines that drive modern medicine, finance, and autonomous systems.
Admission & Aptitude
Thorough mastery of Calculus and Linear Algebra
Strong performance in probability and statistics
Proficiency in Python and basic algorithmic thinking
Intellectual skepticism and a data-driven worldview
Curriculum Pillars
Computational Engines
Pipeline Architecture
The Math of Intelligence
What You'll Learn
How to build neural networks and statistical models from first principles.
Advanced data cleaning and feature engineering at petabyte scale.
The ethics of algorithmic bias and how to build fair, transparent AI.
Learning Style
Experiment-heavy and computationally intensive. Students spend majority of their time in the 'data lab', cleaning messy datasets, tuning hyperparameters, and validating statistical hypotheses. It requires extreme patience for model training and rigorous peer-review of results.
Is This You?
You are the person who asks 'what is the sample size?' when you see a headline.
You enjoy the intersection of deep math and practical coding.
You are comfortable with uncertainty and the iterative nature of research.
Career Outcomes
Machine Learning Engineer: Building production-grade AI models.
Decision Scientist: Guiding high-stakes corporate or medical strategy.
Data Architect: designing the pipelines that move modern information.
Typical Roles
Core Industries
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