Data Science: Computational Intelligence

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Bachelor of Science in Data Science: Computational Intelligence Concentration

Top 5 Reasons to Study

Gain the knowledge, skills, and confidence to leverage artificial intelligence and machine learning to create innovative solutions for large-scale data science problems, leading to careers in AI research, and software development across industries.

Learn to design and implement sophisticated, data-intensive computational systems that leverage deep learning and other machine learning techniques to solve complex problems.

Learn to build AI systems from the ground up by understanding both theory and practice, enabling you to create novel algorithms, develop new software tools, and leverage existing libraries to push the boundaries of what's computationally possible.

Build advanced AI solutions through hands-on experience in a two-semester practicum, applying software development, algorithms, and machine learning techniques to real-world computational challenges.

Gain the technical depth to architect next-generation intelligent systems that scale to handle massive datasets, adapt to new domains, automate complex decision-making, and support breakthrough applications in research and industry.

Core
Skills

Data modeling and wrangling
Programming to apply analytical techniques or to build AI models
Creation of data pipelines, data-intensive applications, and AI systems

Sample
Jobs

AI Specialist
Machine Learning Expert
Software Developer
AI Software Engineer
Information Architect

Successful Career Outcomes

$103,500 Median Annual Salary

35% 10 Year Growth Expected

Top
Employment
Industries

AI Research: Creating innovative solutions and novel algorithms in an academic or corporate setting
Software Development: Designing data-intensive computational systems
Technology and Engineering: Architecting next-generation intelligent systems
Algorithm Design: Building AI systems from theoretical foundations
General Industry (Advanced Technical Roles): Scaling systems to handle massive datasets across various sectors

Brag
Points

Study with the best: data science majors at MSU have a median ACT score of 29
Our students have access to Ptolemy, a 64 GPU NVDIA system dedicated to academic use
38% of our Data Science students participate in the Shackouls Honors College

Experiential Learning Opportunities

Capstone Project: You'll participate in a two-semester capstone experience where you will be matched with a faculty mentor while pursuing a meaningful project.

Center for Advanced Vehicular Systems (CAVS): You can work on the MAVS (MSU Autonomous Vehicle Simulator) project, applying AI and machine learning to train autonomous vehicles in off-road environments.

The AI Club: A student organization dedicated to workshops, hackathons, and collaborative projects that build practical skills in artificial intelligence and machine learning.

The Agricultural Autonomy Institute: You can work on a variety of projects using AI to power autonomous agricultural equipment.

Data Science Academic Institute: As an undergraduate researcher, you can work on faculty projects in diverse subject areas, often involving AI and high-performance computing.

You'll take five hands-on labs that use real data. This builds career-relevant experiential learning directly into your coursework.