MS in Data Science and Analytics (Computational Data Science), Bradley University

24 Months

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About this course

This master's program at Bradley University focuses on teaching the theory and algorithms used in data science. It emphasizes implementing these algorithms to uncover new knowledge from large datasets. The curriculum is designed to provide students with practical skills to process, analyze, visualize, and interpret data effectively. During the course, students work on real-world industrial problems both in class and through a semester-long capstone research project. There's also an option to pursue research further by writing a thesis. The program is tailored to prepare students for careers in data science by combining theoretical learning with applied projects, enabling them to handle the vast amounts of data generated daily across industries.

Why this course is highly recommended

Bradley's program is ideal for students aiming to develop a strong foundation in data science and analytics, with a focus on computational techniques. The opportunity to work on real industrial problems and a semester-long capstone provides practical experience that is highly valued by employers. The flexibility to pursue a thesis option also allows for further research if desired. Its multidisciplinary approach and access to state-of-the-art facilities make it a compelling choice for anyone looking to succeed in the rapidly evolving field of data science.

Specialisation

The program offers a concentration in Computational Data Science, which teaches students the skills necessary to analyze and derive insights from large-scale data. It covers processing, visualization, and algorithm implementation to solve complex data problems. Students learn to work on multidisciplinary projects that span engineering, computer science, and business, giving them a well-rounded preparation for careers in data analytics, research, or industry.

Course fees

Application fees

13.60L

1st year tuition fees

13.60L

Living cost

Degree requirements

Students are typically required to complete coursework involving algorithms, data processing, visualization, and machine learning, along with a final capstone project. The program offers the option to write a thesis to further research in the field. The program plan includes coursework such as Data Science Fundamentals, Machine Learning, Databases, and a Capstone Research, structured across four semesters. Exact credit requirements and course sequencing should be discussed with academic advisors.

English language test

IELTS

6.5

DUOLINGO

TOEFL

PTE

Want to learn more about the admission process, eligibility criteria, and acceptance rates for international students? Visit the Bradley University admission page for complete details.

Career prospects

Graduates from this program will be prepared for roles in data analysis, data engineering, machine learning, and research across various industries. Their skills in processing and visualizing data, alongside the ability to work on multidisciplinary projects, open doors to opportunities in technology firms, finance, healthcare, or any sector that relies on data-driven decision-making.