É«¿âTV

Average Duration

12-18 Months

Courses

12

Next Start Date

August 1, 2025

É«¿âTV this program

You don’t just want to sit through meetings. You want to drive them. That means speaking the language of data and knowing what to do with it.

The Master of Science in Data Analytics degree teaches you more than just how to run Python or build machine learning models. You’ll learn how to turn raw information into insights, strategy, and decisions that actually matter.

From cleaning messy data to building predictive models to designing dashboards that tell clear stories, every course is designed to help you bring something real to the table.

You’ll also gain access to the CompTIA Data+ certification– so when you say you can deliver, you’ll have the proof to back it up.

It’s online. It’s structured for working professionals. And it’s built to turn you into someone companies rely on when the numbers get serious.

Career-Ready Skills

Machine Learning & AI
Machine Learning & AI
Statistical Modeling
Statistical Modeling
Data Analytics
Data Analytics
Data Mining
Data Mining
Data Structures
Data Structures
Data Analysis & Visualization
Data Analysis & Visualization
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Fuel your career growth

Be at the forefront of in-demand sectors and career growth opportunities.

High-demand roles

  • Digital Transformation Consultant
  • Innovation Manager
  • Digital Strategy Director
  • Technology Enablement Lead

28%

Expected increase in employment opportunities by 2026 ()

40%

MS in Digital Transformation graduates can expect to increase their salary by up to 40%

Average salary in the U.S.

$115,000

mid-level

Start on the first of any month

You don’t have to wait for a semester to start. Build the skills employers are looking for as soon as next month.


You know your future won’t wait. Learn anytime, anywhere. Join our community of learners from over 110 countries. Take the next step now.

Enroll by

July 27, 2025

Start date

August 1, 2025
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How learning happens at É«¿âTV

Here, learning is designed around you. Experience a flexible and engaging path to mastering new skills and knowledge.

<h3><span>Flexible</span></h3>
<p>With 24/7 support and access to resources, you can expect to be able to study at your own pace and in a manner that suits the needs of your working life.</p>

Flexible

With 24/7 support and access to resources, you can expect to be able to study at your own pace and in a manner that suits the needs of your working life.

<h3><span>Real-world projects</span></h3>
<p><span>Apply your knowledge through practical projects and assignments that mirror real business challenges, allowing you to build a portfolio of demonstrable skills.</span></p>

Real-world projects

Apply your knowledge through practical projects and assignments that mirror real business challenges, allowing you to build a portfolio of demonstrable skills.

<h3><span>Collaborative learning</span></h3>
<p><span>Connect and collaborate with a diverse community of learners and faculty through discussion forums, group projects and live office hour sessions.</span></p>

Collaborative learning

Connect and collaborate with a diverse community of learners and faculty through discussion forums, group projects and live office hour sessions.

<h3><span>Subject matter experts</span></h3>
<p><span>Benefit from the knowledge of seasoned practitioners. Our faculty deliver first-hand insights and bring their extensive experience to what you'll learn.</span><span></span></p>

Subject matter experts

Benefit from the knowledge of seasoned practitioners. Our faculty deliver first-hand insights and bring their extensive experience to what you'll learn.

<h3><span>Personalized support</span></h3>
<p><span>Receive individualized support from our academic advisors and success coaches who are dedicated to helping you achieve your academic and career goals.</span></p>

Personalized support

Receive individualized support from our academic advisors and success coaches who are dedicated to helping you achieve your academic and career goals.

<h3><span>Engaging content</span></h3>
<p><span>Access interactive learning materials, including videos, readings, case studies, and simulations, designed to cater to diverse learning styles.</span></p>

Engaging content

Access interactive learning materials, including videos, readings, case studies, and simulations, designed to cater to diverse learning styles.

Learning outcomes

This program is designed to ensure you build meaningful skills. Either directly connected to the work you do now or to the job you're planning to take on in the future.

Learners will gain further proficiency in Big Data tools and architecture so vast amounts of information can be efficiently retrieved, analyzed, and distributed.
Selecting the right tools to conduct complex data analysis is critical. During the MSDA, participants acquire more advanced competency with programs like SQL and Python.
Learners will have opportunities to apply modeling techniques to real-world situations. Using projects, students will demonstrate their predictive modeling and machine learning skills.
Learn how to transform complex information into compelling visuals that effectively provide insights and business signals that non-technical team members can make use of. 

Industry projects

While studying for your degree online, you’ll work on real-life industry projects based on input from top companies across various sectors.
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Natural Language Processing

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Recommendation Engine

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Program courses

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business

Business Analytics

Focuses on how organizations identify, evaluate, and effectively use data. Examine technology's impact on data analysis and interpretation for better decision-making.
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business
marketing

The Art of Communication

Strengthen leadership communication through audience-centered approaches for persuasion, negotiation, and executive scenarios in public and private sectors.
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technology
cybersecurity

Programming in R & Python

Connect foundational coding knowledge to data analytics projects using Python and R for manipulation, visualization, and statistical modeling through hands-on practice.
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technology
analytics

Data Modeling & Mining

Learn basic concepts and tools for data mining, including sources, cleaning, methods, algorithms, statistical modeling, and tools for structured and unstructured data.
Image{width=800,height=460,url='https://hub.nexford.org/hubfs/Course%20Thumbnail%20Image%209.png',altText='',fileId=190388894523}
analytics
business

Statistics for Business Analytics

Understand statistical principles and their application in business analytics for data collection, analysis, interpretation, and informed decision-making.
Image{width=800,height=460,url='https://hub.nexford.org/hubfs/Course%20Thumbnail%20Image%201.png',altText='',fileId=190392962400}
technology
ai

Data Sciences for Decision-Making

Build a foundation for applying advanced analytics to complex data. Understand design, tools, translators, momentum gains, transformation elements, and big data models.
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technology
analytics

Information Visualization & Communication

Learn to design effective interactive data visualizations for discovery, analysis, and presentation. Develop skills to create and evaluate sophisticated data visualization projects.
Image{width=800,height=460,url='https://hub.nexford.org/hubfs/Course%20Thumbnail%20Image%2010.png',altText='',fileId=190392962624}
business
sustainability

Corporate Sustainability

Explore how businesses integrate sustainability into their core strategy for growth, examining regulations, initiatives, green marketing, and environmental impact.
Image{width=800,height=460,url='https://hub.nexford.org/hubfs/Course%20Thumbnail%20Image%207.png',altText='',fileId=190388938882}
ai
analytics

Applied Machine Learning for Business Analytics

Explore machine learning algorithms, data preprocessing, feature selection, and model optimization for real-world business problem-solving, including ethical considerations.
Image{width=800,height=460,url='https://hub.nexford.org/hubfs/Course%20Thumbnail%20Image%205.png',altText='',fileId=190392962459}
analytics

Data Analytics

Focuses on how organizations identify, evaluate, and effectively use data. Examine technology's impact on data analysis and interpretation for better decision-making.