鶹ýɫƬ

M.S. in Data Analytics
32
Credit Hours
19
Month Completion
Class Type
Next Start Date
Aug 19, 2024
Placement Tests
GMAT/GRE not required for admission
Embedded Credentials
Graduate Certificate

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

On Site

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.

԰’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)

Read more >

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!"

Future Start Dates

Start 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.

Fall 2024
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18
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Fall 2025
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29
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Spring 2026
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5
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Dec 26
Summer 2026
May
18
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May 8

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

$670
PER CREDIT HOUR

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

98%
STUDENT SATISFACTION

98% of graduating students would recommend Franklin to their family, friends and/or colleagues.

Source: 鶹ýɫƬ, Office of Career Development Student Satisfaction Survey (Summer 2023)

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Data Analytics Courses & Curriculum

32 Semester Hours
Major Area Required
MATH 601 - Introduction to Analytics (4)

This course provides an introductory overview of methods, concepts, and current practices in the growing field of statistics and data analytics. Topics to be covered include data collection, data analysis and visualization as well as probability, statistical inference and regression 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.

DATA 605 - Data Visualization & Reporting (4)

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.

DATA 610 - Big Data Analytics and Data Mining (4)

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.

DATA 611 - Applied Machine Learning (4)

This course explores two main areas of machine learning: supervised and unsupervised. Topics include the fundamental concepts, roadmap of a machine learning project, classification algorithms, regression algorithms, dimensionality reduction, model evaluation, natural language processing, neural networks and deep learning, typical issues in real-world machine learning problems, and Python programming in data science.

DATA 612 - Computing for Data Analytics (4)

This course explores data mining methods and procedures for diagnostic and predictive analytics. Topics include association rules, clustering algorithms, tools for classification, and ensemble methods.

DATA 621 - Advanced Analytics (4)

This course examines the data analysis process using some advanced statistical methods. Students will improve their skills in data analytics and predictive analytics which will allow them to develop algorithmic methods for decision-making using popular industry software for data-driven solutions.

DATA 695 - Capstone (4)

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.

DATA 630 - Applied Database Management (4)

This course teaches data management from an applied perspective. The topics include fundamentals of database management systems, structured query language (SQL) for data analytics, relational database design, and data warehousing.

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.

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.

M.S. in Data Analytics Program Details

Free Big Data Career Guide

Start or level-up your big data career with first-hand tips and expert advice from real-world pros.

Data Analytics 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.

Data Analytics Employment Outlook

9%

From 2021-2031 jobs in Data Analytics are expected to increase by 9%

All Occupations

2021
487,405 jobs
2031
533,406 jobs
Show Details >

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:

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Data Analytics Options

Find the Data Analytics Program That Fits Your Goals

If you’re interested in advancing your technology career, Franklin has several great options. Compare programs and identify your perfect match.

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M.S. in Data Analytics
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M.S. in Computer Science Data Analytics Focus
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M.S. in Information Technology - Data Analytics Focus

Focus: 
Develop proficiency in using data as a predictive tool for solving business challenges and creating a competitive advantage.
 
Skills:
Learn to use and apply descriptive and predictive analytics, data visualization and computer algorithms.
 
Careers: 
Apply your M.S. in Data Analytics to help organizations use data to maximize operations, inform decision making and optimize financial performance.
 
How many courses are in the program?
Eight 12-week courses
 
How quickly can I complete the program?
19 months

Focus: 
Enhance your expertise as you combine the principles of computer science with the elements of data modeling to facilitate knowledge discovery and application.
 
Skills:
Develop in-demand skills in the areas of database design, data mining, statistical analysis and visual storytelling.
 
Careers: 
Put your M.S. in Computer Science-Data Analytics to work helping organizations leverage data-informed insights for business growth and success.
 
How many courses are in the program?
Nine 12-week courses
 
How quickly can I complete the program?
20 months

Focus: 
Grow your skills as a technologist that uses data and statistical reasoning to identify trends, make predictions and inform decision making.
 
Skills:
Strengthen your understanding and application of statistical inference methodologies, data mining tools and techniques, and visual-based reporting.
 
Careers: 
Use your M.S. in IT-Data Analytics to help organizations understand and apply data to enhance position, demonstrate value, and improve profitability.
 
How many courses are in the program?
Nine 12-week courses
 
How quickly can I complete the program?
16 months

Data Analytics Frequently Asked Questions

Investigate Your Options

Interested in a career that focuses on data and information, but not quite sure where you fit? 

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