About Course

Marshall University

Marshall - Master of Science in Data Science

The M.S. in Data Science integrates statistical methods, data analysis, and machine learning to extract meaningful insights for...

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Fees

USD

35,697

/total

*These prices are estimated and may vary.

Duration

Method

Location

Intake

Course Level

months

on-campus

Huntington

Intake

masters

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About this program

Work & Study

International students in the US can work on-campus for up to 20 hours per week during the academic year and full-time during breaks. Off-campus employment is possible under specific conditions.

OPT - Optional Practical Training

After completing their degree, international students may qualify for the Optional Practical Training (OPT) program, providing temporary work authorization for up to 36 months, depending on the degree level and field.

Intern/Job-Placement

The institution has a specialized department for internships and professional placement, providing crucial support for students by connecting them to opportunities that propel their careers.

The M.S. in Data Science integrates statistical methods, data analysis, and machine learning to extract meaningful insights for future forecasting. This enhances business or system efficiency by optimizing processes. Students gain expertise in computational modeling, data collection, integration, storage, retrieval, processing, analytics, and visualization.

Get to know the top 3 benefits of this program

In-Demand Skills

The program imparts essential skills in computational modeling, data analysis, and machine learning, aligning graduates with the high-demand requirements of the data science job market.

Diverse Career Opportunities

Graduates are well-prepared for diverse roles such as Data Analyst, Business Intelligence Developer, and Data Engineer, with opportunities spanning industries like IT, healthcare, finance, and more.

Thesis Option for Specialization

The thesis option allows students to delve deeply into a specific area of interest, fostering critical thinking and research skills while preparing them for advanced roles in academia or industry.

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Entry requirements for University

Admission Requirements

To be admitted to the M.S. in Data Science program, applicants need a bachelor's degree in a relevant field with a GPA of 2.75 or higher. Different majors require completion of three bridge courses (Data Structure and Algorithms, Data Engineering, Applied Probability and Statistics) with a grade of B or above in the first two semesters. International students must meet MU English proficiency standards and other admission criteria before starting their first semester.

English Proficiency Requirements

All Marshall University applicants, regardless of citizenship, must meet English proficiency requirements. Minimum scores for graduate exams include TOEFL iBT (80), IELTS (6.5), Duolingo (105), MELAB (82%), and PTEA (53). Exemptions apply for those with transfer credit equivalent to ENG 101 with a grade of C or better or successful completion of an approved ESL program, like the Marshall University English Language Institute.