Class Type100% onlineSee state availability
Next Start Date
About Start Dates
Additional future start dates include:
Summer 2023
May 15, 2023Start dates for individual programs may vary and are subject to change. Please request free information & speak with an admission advisor for the latest program start dates.
Placement Tests
Placement Information
Embedded Credentials
Translate chaotic data sets into competitive advantage with a master’s in data analytics
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 analytics; the programming skills to create and apply computer algorithms; the tools and platforms to visualize and mine big data, and the communication skills necessary to effectively convey findings and provide strategies and best practices within your organization.
Program Availability
Finish in 19 Months
Earn your degree and prepare for advancement faster.
100% Online Coursework
Balance earning your degree with other work-life commitments.
Hands-On Learning
Build your skills using industry-leading tools and programming and modeling techniques.
Learn from the Best
Benefit from the experience of your instructors – seasoned, in-field practitioners.
M.S. in Data Analytics Degree Overview
Earn a degree aligned with industry demand
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.
Franklin’s transfer-friendly M.S. in Data Analytics 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.
*Source information provided by Economic Modeling Specialists International (EMSI)
Melanie M.
M.S. Data Analytics '21
"I was able to advance in my career while working full time and watching my newborn at home full time. This has been the greatest accomplishment for me!"
Your Best Value M.S. in Data Analytics
Choose Franklin's M.S. in Data Analytics and get a high-quality degree that fits your life and your budget.
Affordable Tuition
Get ahead without going broke.
Non-Profit = Student Focused
Unlike for-profit universities, Franklin invests in student success, not shareholder gain.
Tuition Guarantee
Inflation-proof your degree cost by locking-in your tuition rate from day one through graduation.
Highly Recommended
97% of graduating students would recommend Franklin to their family, friends and/or colleagues.
Source: Franklin University, Office of Career Development Student Satisfaction Survey (Fall 2021)
Data Analytics Courses & Curriculum
This course provides an introductory overview of methods, concepts and current practices in the growing field of Data Analytics. Topics to be covered include data collection, analysis and visualization as well as statistical inference methods for informed decision-making. Students will explore these topics with current statistical software. Some emphasis will also be given to ethical principles of data analytics.
This course focuses on the fundamental design considerations in designing a database. Specific topics include performance analysis of design alternatives, system configuration and the administration of a popular database system. The course also offers an in-depth analysis of the algorithms and machine organizations of database systems. Note, this course has proctored exam(s). This exams requires additional technology, if student uses online proctoring.
This course focuses on collecting, preparing, and analyzing data to create visualizations, dashboards, and stories that can be used to communicate critical business insights. Students will learn how to structure and streamline data analysis projects and highlight their implications efficiently using the most popular visualization tools used by businesses today.
This course explores data mining methods and tools, examines the issues in the analytical analysis of massive datasets, and unstructured data. Students will learn the concepts and techniques to discover the patterns in large datasets, which support organizational decision making.
This course explores two main areas of machine learning: supervised and unsupervised. Topics include linear and logistic regression, probabilistic inference, Support Vector Machines, Artificial Neural Networks, clustering, and dimensionality reduction, and programming.
This course explores the methods of analytics computing and the procedures for diagnostic and predictive analytics. Topics include data manipulation, clustering algorithms, and regression methods using basic programming techniques.
This course examines the data analysis process with the emphasis of quantitative and qualitative findings from data. Students will develop skills in data analytics methods and predictive analytics that will allow them to develop algorithmic methods and use them along with popular industry software for data-driven solutions.
The purpose of this capstone course in Data Analytics is to assess students' ability to synthesize and integrate the knowledge and skills they have developed throughout their coursework. The course provides students with the opportunity to demonstrate competency on the key domains of data analytics through a comprehensive project including problem scoping, data preparation and analysis, and a model development.
This course introduces the student to statistics with business applications. The course covers both descriptive and inferential statistics. Topics included are: measures of central tendency; measures of dispersion; graphical displays of data; linear regression; basic probability concepts; binomial and normal probability distributions; confidence intervals; and hypothesis testing. These topics will be covered using a basic knowledge of algebra and Microsoft Excel. Note, this course has proctored exam(s).
Complete the above course or the equivalent from an accredited school. Prerequisite must be completed with a grade of C or better.
Microcredentials Align with Job Essentials
In today’s dynamic work environments, adaptive professionals thrive. A microcredential - either as a stand-alone course or integrated into your degree program - is a short, skill-specific recognition that enables you to demonstrate your competency in a distinct area. Like Franklin’s degree programs, microcredentials are aligned with market and industry demand to ensure what you learn can be put to use right away. Microcredentials are easily shared via digital badges and can be stacked to create a unique portfolio of in-demand skills.
Embedded Credentials Recognize Achievement in Real-Time
Embedded credentials provide a quick ROI on the time and tuition you’re investing in your master’s degree.
Embedded certificate marks midpoint to degree completion
Your time and tuition dollars pay off fast with a Graduate Certificate in Data Analytics awarded after the completion of your first four master’s courses.
Complete the courses below and receive a certificate that formally documents your ability to identify and communicate insights gained through data analysis.
- MATH 601 - Introduction to Analytics
- COMP 630 - Issues in Database Management
- DATA 605 - Data Visualization and Reporting
- DATA 610 - Big Data Analytics and Data Mining
Master's in Data Analytics Program Details
| 2021 - 2022 Tuition | Cost Per Credit |
|---|---|
| Standard tuition per credit hour | $670 |
| Current service members | $536 |
| Graduate Prerequisite Courses (500 level) | $398 |
| Graduate Prerequisite Courses (500 level) - International Students | $526 |
| 2022 - 2023 Tuition | Cost Per Credit |
|---|---|
| Standard tuition per credit hour | $670 |
|
Nursing programs |
$670 |
| MSN-Generalist and MSN-Nurse Administrator | $598 |
| RN-MSN Pathway (NURS 500) | $298 |
| Current service members | $536 |
| Graduate Prerequisite Courses (500 level) | $398 |
| Graduate Prerequisite Courses (500 level) - International Students | $526 |
Know the Total Cost of Your Master’s from Day One
Save yourself the anxiety of annual tuition increases with Franklin’s Tuition Guarantee. The guarantee lets you lock-in what you’ll pay from first-term through graduation, as long as you remain actively enrolled. Not only will this help you maximize funding sources - like employer reimbursement or financial aid, it will keep you focused on earning your degree.
A learning outcome map functions as a roadmap to help guide students' progress through their program of study. Click HERE to view the M.S. Data Analytics matrix.
To be awarded a graduate degree, students must:
- Successfully complete all required curriculum courses.
- Maintain a minimum cumulative grade point average (GPA) of 3.00.
- Complete the residency requirement:
- Master of Science – Data Analytics students must earn at least 20 of the 32 required credits at Franklin University.
- Complete the payment of all requisite tuition and fees;
- Not to be under disciplinary dismissal due to academic dishonesty or violation of Student Code of Conduct.
Transfer credit awarded based on experiential learning shall not count toward the residence requirement at Franklin University.
The admission process reflects Franklin University’s efforts to clearly identify the performance standards that can help predict student success in graduate level study. The selection criterion for Franklin’s graduate programs, as determined by faculty, emphasizes academic ability, contributory work experience, and personal qualities and characteristics.
Requirements for admission include having earned a bachelor's degree from an institution accredited by a Council for Higher Education Accreditation (CHEA)-recognized accrediting organization 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.
Conditional enrollment requires students to achieve a final grade of “B” (3.0 GPA) or better in the first graduate-level course of their program. If the terms of the conditional enrollment are not met, the student will not be allowed to advance in their program and will be unable to earn this graduate degree from Franklin University.
Program Corequisites
Successful completion (C or better) of a college level Introductory Statistics course is required. Completion of a college level programming course is strongly recommended.
Please note: A program requirement, MATH 601, has a prerequisite of MATH 215 Statistical Concepts, or equivalent.
English Language Testing & TOEFL IELTS
Prospective students must demonstrate English Language Proficiency. The requirement is met through any of the following:
- The applicant is a citizen of a country where English is the official language.*
- The applicant has received a bachelor’s degree (or higher) from an institution located in an English-speaking country in which the courses were taught in English.*
- The applicant has earned appropriate scores on language proficiency exams taken within the last two years, as listed in the Academic Catalog.
*For more information about English proficiency, including a list of English-speaking nations, please visit our International Students section.
| Name | Organization | Title |
| Angela Stabler | SAS Institute | Analytical Training Consultant |
| Erin J. Hamm | Nationwide Insurance | Specialist, Data and Analytics |
| Gregor MacDonald | Nationwide Insurance | Executive Director, Mortgage CCAR and Retail Capital Modeling |
| Karl T. Leckrone | Scotts MiraceGro | Data Scientist |
| Rehgan Avon | Open Data Group | Solutions Architect |
| Paul Hendricks | NVIDIA | Senior Solutions Architect, Machine Learning and Deep Learning |
| David M. Sebert | Nationwide Insurance | Director, Business Process Optimization |
| Christopher Wetherill | State Auto Insurance | Lead Data Scientist |
Free Big Data Career Guide
Start or level-up your big data career with first-hand tips and expert advice from real-world pros.
Career Opportunities
Data Scientist
Data scientists collect data and prepare it for analysis by building statistical and predictive models.
Information Security Analyst
Information security analysts plan and implement security features to protect an organization’s computer networks and systems.
Business Intelligence Analyst
Business intelligence analysts use big and small data to predict trends that enable companies to increase profits and efficiency.
Data Warehousing Administrator
Data warehouse administrators manage the daily activities of a data warehouse including archiving, tracking data changes, migration and monitoring data systems.
Operations Research Analyst
Operations research analysts examine organizational operations to inform management decisions, policy changes and other adjustments to improve logistics and operational efficiency.
Employment Outlook
From 2021-2031 jobs in Data Analytics are expected to increase by 9%
All Occupations
| 2021 |
487,405 jobs
|
| 2031 |
533,406 jobs
|
Statisticians
| 2021 |
38,109 jobs
|
| 2031 |
49,246 jobs
|
Statistical Assistants
| 2021 |
10,685 jobs
|
| 2031 |
11,299 jobs
|
Source information provided by Lightcast.
Data Analytics Knowledge & Skillsets
Gain in-demand skills sought by employers with curriculum that teaches you:
- Interpret data and recommend appropriate course of action to improve effectiveness
- Analyze information to produce analytically driven inferences and insights to generate actionable recommendations
- Interpret results of analysis; present recommendations, including alternatives and implications
- Conduct benchmarking, trend analysis and other input to drive continuous improvement and elevate performance
- Analyze requirements, procedures and problems to automate processing or to improve existing business systems
- Design, model, and build data structures and data mapping routines to support data and reporting requirements
- Administer and monitor systems in the purview of information security
- Update, review and maintain operational database systems
- Examine the techniques and issues involved in securing databases
- Predict new trends in database management
- Investigate techniques for measuring the effectiveness of database design
- Experiment with techniques for the optimization of database queries
- Develop technical solutions to business problems and measure outcomes
- Analyze and evaluate management systems for improvement
- Analyze financial statements for trends and performance against expectations
- Analyze business conditions, including pricing, cost and budget consequent to engage in strategic planning and decision
- Analyze the external business environment to determine strengths, weaknesses, opportunities and threats
- Write technically proficient quantitative surveys, across a wide array of topic areas and with varying degrees of complexity
Request Free Information!
Want to learn more about Franklin University? Complete the simple form - it just takes a minute!
Invest in yourself by finishing your degree.
Take advantage of flexible courses that fit your busy schedule.
Finish faster. Save more. Franklin fits your life.
Get in-demand knowledge that helps Franklin grads stand out with top employers.
Request Information
Your privacy is important to us. Privacy Policy
We're Sorry
There was an unexpected error with the form (your web browser was unable to retrieve some required data from our servers). This kind of error may occur if you have temporarily lost your internet connection. If you're able to verify that your internet connection is stable and the error persists, the Franklin University Help Desk is available to assist you at helpdesk@franklin.edu, 614.947.6682 (local), or 1.866.435.7006 (toll free).
Just a moment while we process your submission.
Data Analytics Frequently Asked Questions
The M.S. in Data Analytics is focused on the science of data – coding, modeling and analytic tools – and data operations including advanced analysis. Data analytics professionals use mathematical and statistical methods and techniques along with programming to design and build data models.
The M.S. Data Analytics equips you with the statistical skills necessary to conduct descriptive and predictive analytics; the programming skills to create and apply computer algorithms; the tools and platforms to visualize and mine big data, and the communication skills necessary to effectively convey findings and provide strategies and best practices within your organization.
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 are also expected to continue to grow by 30%, a rate that’s faster than average.
Coursework for Franklin’s 19-month accelerated M.S. in Data Analytics program can be completed 100% online. Through our partnership with SAS, a global leader in analytics, you’ll also earn a SAS Tier 2 Academic Specialization in Data Analytics, which will complement your master’s degree and underscore your analytic knowledge and abilities.
Franklin's M.S. in Data Analytics can be completed in 19 months, 100% online.
The M.S. in Data Analytics has multiple start dates per year.
Franklin University offers a quality education at a competitive cost so you can afford to invest in your future. Our per credit hour tuition rates (vs. per year or per term rates) enable you to better anticipate your tuition costs. Our 2022-2023 tuition rate is $670 per credit hour and you can use Franklin’s free online MyCost Estimator tool to get a personalized estimate of your total degree cost. Ask our helpful staff about available financing options and financial aid programs.
Investigate Your Options
Interested in a career that focuses on data and information, but not quite sure where you fit?
Learn MoreRelated Programs
- Degrees
- Microcredentials & Certificates
- Admissions
- Tuition & Financial Aid
- Transferring Credit
- The Franklin Experience
- About Us
- FranklinWORKS Marketplace
Franklin University
201 S Grant Ave.
Columbus, OH 43215
Local: (614) 797-4700
Toll Free: (877) 341-6300
admissions@franklin.edu
Copyright 2023 Franklin University
Franklin University is accredited by the Higher Learning Commission (1.800.621.7440) and authorized by the Ohio Department of Higher Education.
This institution is authorized by the Indiana Board for Proprietary Education, 101 W. Ohio St., Suite 670, Indianapolis, IN 46204-1984.
Franklin University is committed to being an inclusive community free from all forms of discrimination and harassment.
-
Degrees
- Program Finder
-
Bachelor's Degrees
- Accounting
- Applied Management
- Business Administration
- Business Forensics
- Communications
- Computer Science
- Criminal Justice Administration
- Cybersecurity
- Education
- Emergency Management & Homeland Security
- Energy Management
- Entrepreneurship
- Exercise Science
- Financial Management
- Financial Planning
- Forensic Accounting
- Health Education & Promotion
- Health Information Management
- Healthcare Management
- Human Resources Management
- Information Systems
- Information Technology
- Interactive Media Design
- Logistics Management
- Management & Leadership
- Marketing
- Nursing (RN-BSN)
- Operations & Supply Chain Management
- Psychology
- Public Administration
- Public Relations
- Public Safety Management & Leadership
- Social Sciences
- Sport Management
- Web Development
-
Master's Degrees
- Accounting
- Business Analytics
- Business Psychology
- Computer Science
- Criminal Justice Administration
- Cybersecurity
- Data Analytics
- Education
- Health Informatics
- Healthcare Administration (MHA)
- Human Resource Management
- Information Technology
- Instructional Design & Learning Technology
- MBA Programs
- MSN Programs
- Marketing & Communication
- Professional Sales Leadership
- Public Administration (MPA)
-
Doctoral Degrees
- Associate Degrees
- Online Degrees
- Degrees By Location
- Degrees By College
- Minors
- Degree Completion Programs
- Second Bachelor's Degrees
-
Microcredentials & Certificates
- Microcredentials
-
Undergraduate Certificates
- Accounting Data Analytics
- Business Analysis
- Project Management
-
Graduate Certificates
- Cyber Defense
- Cyber Governance
- Criminal Justice Leadership
- Data Analytics
- Instructional Design
-
Post-Graduate Certificates
- Adult-Gerontology Primary Care Nurse Practitioner
- Family Nurse Practitioner
- Psychiatric Mental Health Nurse Practitioner
-
Post-Baccalaureate Teacher Certification
- Adolescence to Young Adult Education (7-12)
- Primary Education (PK-5)
- Intervention Specialist: Mild/Moderate (K-12)
- Middle Childhood Education (4-9)
-
Admissions
- Undergraduate Students
- Graduate Students
- Partnership Students
-
International Students
- Study in the U.S.
- Earn Your Degree Online
- Community College Students
- College Credit Plus
-
Military & Veterans
-
Active Duty
- Air Force
- Army
- Coast Guard
- Marines
- Navy
-
Veterans
- Montgomery GI Bill® - Selected Reserves
- Montgomery GI Bill®
- Post-9/11 GI Bill®
- Vocational Rehabilitation and Employment VetSuccess Program
- Yellow Ribbon Program
- Spouses & Family
-
Active Duty
- Online Open House
-
Admission Requirements
- Associate Degrees
-
Bachelor's Degrees
- General Bachelor's Degree
- Nursing (RN-BSN)
-
Master's Degrees
- Accounting
- Business Administration (MBA)
- Business Analytics
- Business Psychology
- Computer Science
- Criminal Justice Administration
- Cybersecurity
- Data Analytics
- Health Informatics
- Healthcare Administration (MHA)
- Human Resource Management
- Information Technology
- Instructional Design & Learning Technology
- Marketing & Communication
- Nurse Administrator (MSN-ADM)
- Nursing-Adult-Gerontology Primary Care Nurse Practitioner
- Nursing-Family Nurse Practitioner (MSN-FNP)
- Nursing-Generalist (MSN)
- Nursing-Psychiatric Mental Health Nurse Practitioner
- Public Administration
-
Doctoral Degrees
- Business Administration (DBA)
- Healthcare Administration (DHA)
- Instructional Design Leadership (DPS)
- Nursing Practice-Family Nurse Practitioner (DNP-FNP)
- Nursing Practice-Leadership Track (DNP)
- Organizational Leadership (Ed.D.)
-
Graduate Certificates
- Criminal Justice Leadership
- Instructional Design
-
Tuition & Financial Aid
- Tuition & Fees
- Cost Estimate Calculator Tool
- Tuition Guarantee
- Undergrad Tuition Comparison
- Federal Aid & State Aid
- Institutional Aid & Private Loans
- Applying for Aid
- Community College Students
- Scholarships
- Payment Options
- Financial Aid Resources
-
Transferring Credit
- Estimate Your Transfer Credit
- How to Transfer Credits
-
Types of Transfer Credit
- Previously Earned College Credit
- Prior Learning Credit
- Military Training Credit
- Professional Training Credit
- Vocational Credit
- Testing & Portfolio Credit
-
Transferring from a Community College
- Partner Schools
- Columbus State Community College
- Cuyahoga Community College
- Edison State Community College
- Sinclair Community College
- Transfer into a Bachelor’s Degree
- Transfer into a Master’s Degree
- Transfer into a Doctoral Degree
- Transfer into an Associate Degree
-
The Franklin Experience
- Built For Working Adults
- Transfer Friendly
- Accredited University & Quality Degrees
- Fast & Affordable
- Student Success Stories
- Valued By Employers
- Nonprofit
- Student Support
- Career Development
-
About Us
-
Locations
-
Ohio
- Columbus
-
Ohio
-
Partnerships
- Employer Partnerships
-
Community College Partnerships
-
Career Advancement Program
- Benefits for Community Colleges
- Benefits for Businesses
-
Career Advancement Program
- Medical School Partnerships
-
Global Partnerships
- Solutions
-
Case Studies
- Al Baha University
- MCBS
- Saudi Electronic University
- Current Partnerships
-
College Credit Plus Partnerships
- Become a Partner
- Current Partners
- Teachers
-
Faculty & Staff
- Board of Trustees
- University Leadership
- University Directory
- Faculty Profiles
- President's Welcome
- Admission Advisors
-
University Details
- Accreditation
- State Authorization & Professional Licensure Information
- Our Mission & Values
- The Four Cornerstones
- Our History
- Consumer Information
- Safety & Security
- Bookstore
- Assessment
- Map & Directions
-
Franklin Pressroom
-
COVID-19 Updates
- Students
- Faculty & Staff
- Future Students
- Events
- News
- Presentations & Awards
- Request an Expert
- Speakers' Bureau
- Event Hosting
-
COVID-19 Updates
- Careers at Franklin
-
Policy Information
- Title IX
- Community Standards & Student Code of Conduct
- Discrimination Harassment & Sexual Misconduct
- Anti-Hazing Policy
- Drug Free School & Communities Act
- Franklin Intervention & Awareness Team
- Filing Complaints
-
Office of Academic Scholarship
-
Institutional Review Board (IRB)
- Application & Review Process
- Cayuse
- CITI Training
- Research Review Categories
- Committee & Policies
- Documents, Resources & FAQs
- Research at Franklin University
- Programs & Support
- Resources
- Research Opportunities
- About Us
-
Institutional Review Board (IRB)
- Office of Accessibility Services
- Combating Copyright Infringement
- Financial Aid Statement
- Influenza Information
- Information Technology Acceptable Use
- Notice of Privacy Rights (FERPA)
- Privacy Statement
- Student Parking
- Tuition Refund Policy
- Vaccinations
- Inclement Weather Policy
- Transfer Credit Policy & Procedures
- Community Engagement
- Request Your Franklin Transcripts
- Urbana University Resources
- Give to Franklin
-
Locations