Franklin University United States

M.S. in Data Analytics

Integrated Masters with deeper specialization and research focus
Taught in English
Duration 1.6 Years
Mode Online
Level Postgraduate
Degree Masters Degree
Closing soon January 2027

Course Overview

The M.S. in Data Analytics at Franklin University is designed for ambitious professionals eager to harness the exponential growth of data in today's digital world. You will develop the essential statistical, programming, and visualization skills needed to manage, analyze, and derive actionable insights from complex datasets. This postgraduate degree equips you to address the surging demand for data analytics expertise, preparing you to excel in a field that is fundamental to modern business strategy and technological advancement. It's ideal for those seeking to transform raw information into strategic advantage.

This online Masters program is studied full-time over 19 months, offering a flexible yet rigorous learning experience. You will delve into core areas such as Big Data Analytics, Machine Learning, Applied Database Management, and Data Visualization, culminating in a practical Capstone project. Throughout your studies, you will work with modern tools and platforms, gaining hands-on experience with real-world analytical challenges. Upon graduation, you will be well-prepared for a variety of analytics-focused roles, equipped with the advanced skills employers are actively seeking.

Course Curriculum & Details

Detailed information for serious evaluators

Program Overview

This Master of Science in Data Analytics program equips students with essential skills for the field. The curriculum covers foundational mathematics for analytics, modern statistical analysis tools, and applied database management. Students will delve into data visualization and reporting, big data analytics, data mining, and applied machine learning, culminating in a capstone project.

1 Major Area Required

Data visualization & reporting Compulsory
Big data analytics and data mining Compulsory
Applied machine learning Compulsory
Advanced analytics Compulsory
Capstone Compulsory
Applied database management Compulsory
Modern tools for statistical analysis Compulsory
Mathematics for analytics Compulsory

Cost & Affordability

A clear picture of what this course will cost you

Program Costs

First Year Fee Tuition fee
USD 10,720.00
Second Year Fee Tuition fee
USD 10,720.00
Total Program Cost Estimated total tuition
USD 21,440.00

Currency note: Program costs shown in USD based on the available tuition breakdown.

Living Costs

Accommodation
USD 1,129.00 - USD 2,576.00
Food & Groceries USD 3,000.00 - USD 4,560.00
Transport USD 600.00 - USD 1,200.00
Utilities & Bills USD 960.00 - USD 1,800.00
Estimated Total USD 4,560.00 - USD 7,560.00

Living cost estimates are based on Columbus Campus.

Outcomes & Employability

What happens after you graduate

73%
Graduate Employment Rate Within 6 to 12 months of graduation

Common Graduate Roles

Brokerage & Trading & SecuritiesDrug Discovery & ResearchFinancial Technology (Fintech)Hardware & Semiconductor EngineeringInvestment Management & Asset ManagementMental Health & CounselingNursing & Allied HealthPharmaceutical ManufacturingProduct Management & UXTax & Legal Compliance

Top Employers Hiring for this course

Amazon

Huntington Bank

JPMorganChase

Nationwide

Nationwide Children's Hospital

OhioHealth

Walgreens

Why Study M.S. in Data Analytics at Franklin University

What makes this program stand out

January 2027 Closing soon

Next intake is in January 2027

Moderate Application response time

Franklin University typically responds to applications within 1 - 2 weeks, giving you clarity on your options quickly.

Life at Franklin University in United States

What daily life looks like for international students

Language

English

Primary language everywhere

Climate

Mild & Rainy

10-20°C average, pack layers

Safety (Numbeo Safety Index)

Very Safe

Exeter is one of UK's safest cities

Frequently Asked Questions

Common questions about M.S. in Data Analytics at Franklin University

Can I work while studying?

International students may work up to 20 hours per week during term time and full-time during breaks. On-campus work doesn’t require additional permits, but off-campus work needs approval after the first year.

Is this qualification recognised internationally?

Yes. This course is accredited by Commission on Collegiate Nursing Education.

What English language score do I need for this course?

To be eligible for the program, you must meet specific English test requirements, including a score of 105 in Duolingo or 79 in TOEFL. IELTS scores must be at least 6.5 overall.

What jobs can I get after studying this course?

Job titles include Data Analyst, Data Scientist, Business Intelligence Analyst, Machine Learning Engineer, and Data Engineer.

What will I actually study in this course?

With on-going expansion of modern technology including smart devices, social networking, online shopping and more, the amount of data captured is growing exponentially. While the collection and storage of these large amounts of data has become easier and inexpensive, the demand for individuals with the skills capable of managing, analyzing and mining this information is surging. The M.S. in Data Analytics equips you with the statistical skills necessary to conduct descriptive and predictive

When can I start — what are the intake months?

The M.S. in Data Analytics has multiple intake months: January, May, August, and September. You can choose to start your studies in any of these months.
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