University of Central Missouri
MS in Data Science & Artificial Intelligence
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Admission Snapshot
Typical admitted student: Applicants must hold a bachelor's degree with a minimum GPA of 2.8-3.0, preferably in computer science, mathematics, or a related field, and submit GRE scores with a minimum combined Verbal and Quantitative score of 291.
About This Program
This master's degree emphasizes the synergy between data science and artificial intelligence, training students to harness data for effective, evidence-based decision-making.
Career Outcomes
Excel as Data Scientist in Cross-Industry AI with machine learning expertise
- 1. Data Scientist
- 2. AI/ML Engineer
- 3. Data Analyst
- 4. Machine Learning Specialist
What You'll Learn
- Develop machine learning models for predictive analytics and pattern recognition.
- Apply deep learning techniques to process complex datasets and neural networks.
- Perform big data analytics and visualization for actionable insights.
- Implement natural language processing for AI-driven text analysis.
Curriculum Highlights
The coursework includes advanced statistics, predictive modeling, and deep learning, featuring hands-on experience with industry-standard machine learning tools and massive datasets.
Top Employers
Top employers include tech giants like Google, Amazon, Microsoft, and consulting firms such as Deloitte and IBM.
Admissions
Applicants must hold a bachelor's degree with a minimum GPA of 2.8-3.0, preferably in computer science, mathematics, or a related field, and submit GRE scores with a minimum combined Verbal and Quantitative score of 291.
Application Materials
- Statement of Purpose: Required
- Letters of Recommendation: 2β3
- Resume: Required
- Transcripts: Official transcripts required
Academic Requirements
- Degree Required: Bachelor's degree
- GRE/GMAT: Required (minimum combined score 291 Verbal/Quantitative)
- TOEFL/IELTS: Required for international students (TOEFL 79+ / IELTS 6.0+)
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