Data Science

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Why Data Science

Every Decision Runs on Data

Every organization collects data. Very few know how to use it well. The people who can collect it, clean it, model it, and turn it into decisions that actually move a business forward are among the most valuable in any industry.
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Data science sits at the intersection of statistics, programming, and domain expertise. Clarke's programs take you from the fundamentals of data analysis through machine learning, neural networks, and large language models, with a curriculum built around real datasets and real problems from the start.
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Graduates pursue roles as Data Scientists, Data Engineers, and Analytics Engineers, with average early-career salaries ranging from $100,000 to $125,000.

Data Scientist

$105,000 avg. salary

Builds and applies statistical models and machine learning techniques to real datasets, turning complex analysis into decisions that move organizations forward.

Data Engineer

$115,000 avg. salary

Designs and maintains the pipelines, infrastructure, and systems that collect, store, and prepare data for analysis and machine learning at scale.

Analytics Engineer

$108,000 avg. salary

Bridges raw data and business insight by building the models, dashboards, and reporting systems that make data accessible and actionable across an organization.

Three Programs. One Discipline.

Clarke's Data Science programs span undergraduate through professional certificate, built for every starting point and schedule. Some are designed for students building a foundation from the ground up. Others are built for working professionals ready to go deep in data. All of them are built around real work, real curriculum, and outcomes that matter.

Bachelor of Science

Computer Science

Data Science Concentration

A three-year undergraduate degree built around software engineering and data science. You will develop the technical foundation to work across the field, with a concentration that goes deep into data analysis, statistical modeling, and machine learning. This is the complete path for students who want a degree and the depth that comes with it. The work-integrated model means you graduate with real experience and no debt.

Explore the Bachelor's Program
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Master of Science

Computer Science

Data Science Concentration

An advanced degree for students who already have a technical foundation and want to go deep in data science. Over two years, you will cover data engineering, statistical modeling, machine learning, and production data systems at a graduate level, with a curriculum designed to be applied in real work from the start.
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The program is available with or without an apprenticeship. If you are working in a technical role, you can apply what you are learning directly in your current job. If you want to pair the degree with a new opportunity, the apprenticeship track offsets tuition while you earn your degree.

Explore the Master's Program
Professional Certificate

AI & Data Science Certificate

A focused, rigorous path through data science, machine learning, natural language processing, and large language models. You will work with real datasets, build models, and finish with an industry-ready portfolio and professional certificate in AI & Data Science. Available full-time or part-time, so you can build serious data science skills as fast as possible or around your current commitments.

Explore the Professional Certificate
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Still Deciding?

Every path through data science looks a little different. If you want help figuring out which program fits where you are, the admissions team can help you figure out where to start.

Talk to Admissions