University of California, San Diego
BS in Cognitive Science – Machine Learning and Neural Computation
How this program compares
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Admission Snapshot
Typical admitted student: High school diploma or equivalent with a minimum GPA of 3.0-3.5, SAT/ACT scores (optional at many UC campuses), and completion of college-preparatory courses in math, science, and computer science.
About This Program
This undergraduate specialization focuses on mathematical modeling of cognition and building intelligent systems, blending theoretical neuroscience with software engineering.
Career Outcomes
Begin AI Engineer career in Cross-Industry AI with machine learning focus
- 1. Machine Learning Engineer
- 2. AI Research Scientist
- 3. Data Scientist (Cognitive AI)
- 4. Computational Neuroscientist
What You'll Learn
- Design and implement machine learning algorithms inspired by cognitive processes.
- Model neural computation and brain-inspired architectures for AI systems.
- Analyze probabilistic and statistical methods for cognitive data.
- Apply reinforcement learning to simulate decision-making and behavior.
- Integrate cognitive science theories with computational neural models.
Curriculum Highlights
The curriculum includes core cognitive science requirements plus specialized electives in machine learning algorithms, data analysis, and modeling learning individuals.
Top Employers
Top employers include tech companies like Google, Meta, OpenAI, and research institutions such as UC San Diego and neural tech firms.
Admissions
High school diploma or equivalent with a minimum GPA of 3.0-3.5, SAT/ACT scores (optional at many UC campuses), and completion of college-preparatory courses in math, science, and computer science.
Application Materials
- Statement of Purpose: Required
- Letters of Recommendation: 2–3
- Resume: Optional
- Transcripts: Official transcripts required
Academic Requirements
- Degree Required: High School Diploma
- GRE/GMAT: Not Required
- TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)
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