The Master of Science in Computer and Information Sciences (MCIS) with a focus on Data Science at Southern Arkansas University is a specialized STEM-certified program combines advanced computer science principles, statistical modeling, machine learning, and artificial intelligence to equip students with the skills needed to analyze complex datasets, build predictive models, and develop intelligent solutions for real-world challenges. Students gain hands-on experience with modern data science tools and techniques, including data mining, machine learning, data visualization, predictive analytics, and AI-driven decision making. Through a blend of theoretical foundations and practical applications, graduates are prepared to transform data into actionable insights and create scalable solutions for industries ranging from healthcare and finance to technology and government. This concentration is ideal for students seeking careers as Data Scientists, Machine Learning Engineers, AI Specialists, Data Analysts, Business Intelligence Professionals, and other data-centric roles in the rapidly evolving digital economy.
Program Format & Flexibility
The MCIS program offers a flexible and student-centered learning environment tailored to both full-time students and working professionals.
- Online: Complete your degree from anywhere in the United States with 100% virtual coursework.
- On-Campus: Engage in hands-on labs and face-to-face collaboration in Magnolia.
- Hybrid: Utilize a blend of both formats to balance your career and education.
Program Duration & Start Dates
- Duration: Typically completed in 18–24 months.
- Start Dates: Rolling admissions with intakes available for Fall, Spring, and Summer.
- Deadlines: * Fall: July 20 | Spring: December 1 | Summer I: April 1 | Summer II: June 1
- Accelerated Master’s Option: High-achieving SAU undergraduates can begin earning Data Science credits during their senior year, shortening the path to graduation.
Why Choose the Data Science Track at SAU?
- STEM Designation: As a STEM-certified program, international students are eligible for a 24-month OPT extension (36 months total).
- Specialized Faculty and Research Projects: Experienced AI and Data Science Faculty, funded research projects.
- Cost-Effectiveness: SAU offers one of the most affordable high-quality graduate computer science programs in the region.
Skills You Will Gain
- Machine Learning & AI: Design and implement neural networks and predictive algorithms.
- Big Data Infrastructure: Master the tools required to manage and process petabyte-scale information.
- Advanced Data Visualization: Communicate complex technical findings to non-technical stakeholders using tools like Python, R, and Tableau.
- Statistical Modeling: Apply advanced mathematical concepts to solve real-world predictive challenges.
Faculty & Digital Learning Environment
- Research-Active Faculty: Learn from professors who are experts in AI, machine learning, cyber security and cloud computing.
- State-of-the-Art Labs: Access virtualized environments and physical labs equipped with the latest hardware.
- Class Projects and Internship: Most courses include hands-on implementation or research projects, providing practical experience with real-world challenges. Internship opportunities further enhance learning by offering valuable industry exposure and professional experience.
Curriculum
Computer and Information Science: Data Science, MS (30 Hours)
Students must complete core computational requirements plus specialized courses in their chosen track. Students choose two additional elective courses from any concentration area based on their academic interests and professional objectives.
Core Courses (12 hours)
- MCIS 5103 – Advanced Programming Concepts
or MCIS 5163 – Python Programming - MCIS 5133 – Data Base Management Systems
- MCIS 6163 – Computer Networking
- MCIS 6173 – Information and Networking Security
Data Science Courses (12 hours)
- MCIS 6123 – Decision Science
or MCIS 6333 – Data Visualization Programming - MCIS 6263 – Big Data
- MCIS 6273 – Data Mining
- MCIS 6283 – Machine Learning
Elective Courses (6 hours)
Select 6 hours from the following:
- MCIS 5003 – Survey of Information Technology
- MCIS 5013 – The UNIX Operating System
- MCIS 5103 – Advanced Programming Concepts
- MCIS 5113 – Web Programming: Client Side
- MCIS 5163 – Python Programming
- MCIS 5313 – Data Structures and Algorithms
- MCIS 5413 – Web Programming: Server Side
- MCIS 6123 – Decision Science
- MCIS 6133 – User Interface Design
- MCIS 6153 – Software Engineering
- MCIS 6183 – Special Topics
- MCIS 6193 – Special Topics
- MCIS 6203 – Special Topics Seminar
- MCIS 6213 – Applied Cryptography
- MCIS 6223 – Vulnerability Analysis and Risk Assessment
- MCIS 6233 – Traceable Systems and Computer Forensics
- MCIS 6243 – Wireless and Mobile Security
- MCIS 6253 – Privacy Compliant Systems Design
- MCIS 6293 – Special Topics
- MCIS 6313 – Internet of Things
- MCIS 6323 – Cloud Computing
- MCIS 6333 – Data Visualization Programming
- MCIS 6913 – Thesis
- MCIS 6916 – Thesis
- MCIS 6983 – Internship in Computer and Information Science
Admissions
- Online Application: Submit your Graduate Studies Application.
- Transcripts: Official transcripts from all post-secondary institutions.
- GPA Requirement: Minimum cumulative undergraduate GPA of 2.5 (Conditional admission may be available for 2.2+).
Prerequisites:
A Bachelor’s degree in Computer Science or a related field is preferred. Students with degrees in other fields may be required to complete two foundational “bridge” courses in programming and concepts.
Career Outcomes
Data Science is currently one of the highest-paying and most secure career paths in tech. Graduates are prepared for:
- Data Scientist
- Machine Learning Engineer
- Data Engineer
- AI Solutions Architect
- Quantitative Analyst
Market Demand: The Bureau of Labor Statistics projects a 35% growth rate for Data Scientists through 2034, far exceeding the national average for all occupations.
