Data Analytics (MS)

Integrated Masters with deeper specialization and research focus
Taught in English
Duration 2 Years
Mode On Campus
Level Postgraduate
Degree Masters Degree
Closing soon March 2027

Course Overview

The Data Analytics (MS) at the University of Illinois at Springfield is designed for aspiring professionals eager to master the skills required to extract meaningful insights from complex datasets. You will delve into the core technologies of data storage, management, and analysis, gaining a robust understanding of statistical methods essential for data-driven decision-making. This postgraduate program equips you with the theoretical knowledge and practical expertise needed to tackle real-world challenges, making it ideal for those seeking to advance their careers in the rapidly growing field of data science.

This full-time, on-campus Masters degree is structured over two years, providing an immersive learning experience. You will engage with required courses covering machine learning, big data analytics, and database systems, alongside opportunities to specialize through electives in areas like data mining and visualization. The program culminates in a capstone project where you will apply your acquired skills to solve a significant problem. You will graduate prepared to manage, analyze, and interpret large datasets, and effectively communicate findings using various media, opening doors to diverse roles in analytics and research.

Course Curriculum & Details

Detailed information for serious evaluators

Program Overview

This Master of Science in Data Analytics program requires a strong foundation in computer science, mathematics, and statistics, including programming, discrete structures, data structures, calculus, and applied statistics. The curriculum delves into core data analytics concepts through courses in database systems, machine learning, big data analytics, deep learning, and statistical computation. Students will also engage in advanced statistical methods and complete a capstone project. Elective options allow for specialization in areas such as data mining, NoSQL databases, data visualization, or operations research.

1 Prerequisites (25 Hours)

Computer Programming Concepts I
Computer Programming Concepts II
Discrete Structures
Data Structures and Algorithms
Matrix Analysis and Numerical Optimization or Linear Algebra
Business Calculus or Calculus I
Applied Statistics

2 Required Courses (36 Hours)

Introduction to Database Systems
Introduction to Machine Learning
Big Data Analytics
Deep Learning
Introduction to Statistical Computation
Advanced Statistical Methods
Data Analytics Capstone 1

3 Electives (Choose 2, 8 Hours)

Data Mining
NoSQL Databases
Data Visualization
Advanced Topics in Computer Systems (e.g., AI for Cybersecurity or Natural Language Processing)
Advanced Database Concepts (e.g., AI for Cybersecurity or Natural Language Processing)
Operations Research Methods

Cost & Affordability

A clear picture of what this course will cost you

Program Costs

First Year Fee Tuition fee
USD 16,854.00
Second Year Fee Tuition fee
USD 16,854.00
Total Program Cost Estimated total tuition
USD 33,708.00

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

Living Costs

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 Springfield Campus.

Outcomes & Employability

What happens after you graduate

96%
Graduate Employment Rate Within 6 to 12 months of graduation

Common Graduate Roles

Blockchain & Emerging TechnologiesBrokerage & Trading & SecuritiesCloud Computing & InfrastructureCustomer Experience & SupportCybersecurityData Science & AnalyticsEconomic Research & PolicyFinancial Technology (Fintech)Hardware & Semiconductor EngineeringNetworking & Internet Services

Top Employers Hiring for this course

Amazon Web Services

Microsoft

State Farm

Why Study Data Analytics (MS) at University of Illinois at Springfield

What makes this program stand out

March 2027 Closing soon

Next intake is in March 2027

Very Fast Application response time

University of Illinois at Springfield typically responds to applications within 1 - 2 days, giving you clarity on your options quickly.

Life at University of Illinois at Springfield 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 Data Analytics (MS) at University of Illinois at Springfield

Can I work while studying?

International students can work up to 20 hours per week during terms and full-time during breaks without needing a separate work permit on campus. Off-campus work may require university approval after the first year.

What English language score do I need for this course?

To meet the English language requirements, you can choose from various tests like Duolingo, TOEFL, IELTS, or PTE with specified minimum scores. Ensure your scores meet the required levels for acceptance into the program.

What jobs can I get after studying this course?

Graduates can pursue roles such as Data Analyst, Data Scientist, Business Intelligence Analyst, Data Engineer, or Analytics Consultant.

What will I actually study in this course?

This program focuses on key technologies in data storage and management along with foundational statistical methods. Students will also learn to apply AI and emerging technologies to solve complex problems.

When can I start — what are the intake months?

The Data Analytics (MS) program has an intake month in March. Make sure to prepare your application ahead of time to meet all requirements.
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