Overview

Organizations from all sectors of the economy are seeking individuals with programming, analytics and communication skills for the purpose of sorting immense data sets to provide a competitive edge or a predictive tool that will help differentiate themselves in crowded markets. Demand for data analytics professionals is also expected to continue to grow by 9%.* In addition, a survey of job postings nationwide shows that data analytics jobs take longer to fill compared to other positions, indicating that demand is high and supply is low for qualified individuals to fill these positions.

The M.S. in Data Analytics at Franklin University enables you to take advantage of the rising demand for analytics skills and effectively prepares you for the analytics-related jobs of today and tomorrow. The robust curriculum includes coursework in statistics, programming, data management, data visualization, data mining, machine learning and advanced analytics.

Build technical skills with hands-on exposure to industry-standard tools

As a student in the M.S. in Data Analytics, you will be exposed to cutting-edge technology and techniques to address the most common challenges within the discipline. You’ll explore big data technologies including Hadoop, MapReduce, Data Warehouse, SQL, No SQL and In-memory Databases.

You’ll build proficiency that translates into a competitive advantage in the job market thanks to the heavy integration of industry-standard tools and techniques like Python and R to learn data processing algorithms and Tableau to complete hands-on projects and assignments.

Earn a high-quality, comprehensive master’s in data analytics 100% online

At Franklin, you’ll get the convenience and flexibility of a quality online education, expert instructors who have relevant and real-world experience, and strong student support from dedicated faculty, tutors and advisors.

As you progress through the program, you’ll learn to manage, visualize and analyze complex data sets; apply a number of analytics methods to solve business problems and effectively communicate your results through a combination of interactive and relevant coursework. The capstone project gives you an opportunity to integrate and synthesize the skills and knowledge you gained throughout the program.

Transfer up to 12 credits and finish your master’s faster

If you have already taken graduate-level courses, you may be able to transfer credit and save time and money toward your master’s degree. Franklin offers course-for-course credit for every class within the M.S. Data Analytics – except the capstone (BUSA 695). To see if your previous coursework can be used to satisfy degree requirements, you’ll need to submit a syllabus for the course(s) you’d like to have evaluated for transfer credit. Your admissions advisor will be happy to assist you in any way.

Programme Structure

Courses include:

Issues in Database Management

Data Visualization & Reporting

Big Data Analytics and Data Mining

Applied Machine Learning

Computing for Data Analytics

Key information

Duration

Part-time
- 19 months

Start dates & application deadlines

You can apply for and start this programme anytime.

Language

English

IELTS

6.5

Free IELTS Mock Tests!

TOEFL^® IBT

Schedule TOEFL®

Check IELTS test dates and locations. Book an IELTS test now!

Credits

32 SCH

Delivered

Online

Campus Location

Columbus, United States

Disciplines

Data Analytics View 162 other Masters in Data Analytics in United States

Join for free or log in to access our complete career info list.

Academic requirements

GPA

2.75

English requirements

IELTS

6.5

Free IELTS Mock Tests!

TOEFL^® IBT

Schedule TOEFL®

Check IELTS test dates and locations. Book an IELTS test now!

Other requirements

General requirements

Requirements for admission include having earned a bachelor's degree from an institutionally (formerly regionally) accredited institution with a GPA of at least a 2.75 on a 4.0 scale.

Applicants who earned at least a 2.5 GPA on a 4.0 scale in their earned bachelor’s degree will automatically be granted conditional enrollment status. Applicants who earned lower than a 2.5 GPA on a 4.0 scale in their earned bachelor’s degree can petition for conditional enrollment status to the program chair by submitting an essay detailing other criteria that the applicant believes should be considered to demonstrate their ability to be successful in a graduate program. This petition could include details on the applicant’s work experience, work ethic, level of professionalism, personality characteristics, level of difficulty of program of study previously completed, etc.

Tuition Fee

To always see correct tuition fees

International

13541 USD/year

Tuition Fee

Based on the tuition of 670 USD per credit during 19 months.
National

13541 USD/year

Tuition Fee

Based on the tuition of 670 USD per credit during 19 months.
In-State

13541 USD/year

Tuition Fee

Based on the tuition of 670 USD per credit during 19 months.

Funding

Win a €10000 Scholarship! Deadline: 30 June 2020

Embark on your journey with the Studyportals Scholarship! We're giving away a total of 20,000 euros to help you achieve your dream of studying abroad.

Win a €10000 Scholarship! Deadline: 30 June 2020

Embark on your journey with the Studyportals Scholarship! We're giving away a total of 20,000 euros to help you achieve your dream of studying abroad.

In order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.

Scholarships Information

Below you will find Master's scholarship opportunities for Data Analytics.

Available Scholarships

You are eligible to apply for these scholarships but a selection process will still be applied by the provider.

About