The M.S. in Data Analytics provides an interdisciplinary approach to data analytics that covers both the foundational mathematical knowledge of data science and the computational methods and tools for preprocessing, interpreting, analyzing, representing and visualizing data sets. Graduates of the program will have a foundation in data analytics that will prepare them for a professional career or entry into a Ph. D. program.
Program Highlights
Flexibility
Our online master’s degree in data analytics provides the same coursework and campus connectivity as our on-ground students, with the added convenience and flexibility to fit your schedule.
Joint degree
The data analytics degree is jointly administered by the Departments of Computer Science and Mathematical Sciences. The result is an interdisciplinary curriculum that equips students with the mathematical theory and foundations needed to gather and understand the fundamental principles behind the data, the computer science methods, technologies and practical tools to clean and process data sets, find patterns and turn data into useful insights.
Hands-on
Data analytics offers courses with significant hands-on components where students learn to tackle real-world problems through public datasets that are made available by governmental and non-governmental organizations at the state, national and
international levels.
Research opportunities
Data analytics faculty members include students in their research on big data, data mining, machine learning and statistics. Professors bring their scholarly expertise to the classroom and motivate research through literature review assignments, discussion forums and final projects
Program Goals
In this program, you'll master essential skills. You'll understand the latest data technologies, use statistics for decision-making, and become a data wizard. Expect to handle big data like a pro, and learn to apply AI to real-world challenges. Plus, you'll learn how to communicate your findings effectively, a crucial skill in today's data-driven world.
Career Opportunities
Graduates of this program are poised for dynamic careers in data analytics, including:
- Data Analyst: Transform data into actionable insights for informed decision-making.
- Data Scientist: Develop complex models to predict trends and uncover hidden patterns.
- Business Intelligence Analyst: Drive business growth with data-driven strategies.
- Machine Learning Engineer: Design algorithms that enable machines to learn and adapt.
- Data Engineer: Build and maintain data pipelines for efficient data processing.
- AI Researcher: Push the boundaries of Artificial Intelligence through innovative research.
- Database Administrator: Manage and optimize data storage systems.
- Quantitative Analyst (Quant): Apply data analysis to financial markets.
- Market Research Analyst: Investigate consumer trends to guide marketing strategies.
- Healthcare Data Analyst: Improve patient care through data-driven insights.
- Consultant: Advise organizations on data-driven solutions.
- Cybersecurity Analyst: Protect systems by analyzing security data.
- Data Visualization Specialist: Create compelling visual representations of data.
- Statistical Analyst: Apply statistical methods to solve real-world problems.
- Risk Analyst: Assess and mitigate risks in various industries.
- Supply Chain Analyst: Optimize logistics and operations with data.
- Research Scientist: Conduct data-focused research in academia or industry.
- E-commerce Analyst: Enhance online shopping experiences with data insights.
- Natural Language Processing Specialist: Develop algorithms for understanding human language.
- Environmental Data Analyst: Analyze environmental data for conservation and sustainability.
Start your path to becoming a Data Analytics expert at UIS. We're here to help you every step of the way!