Resources

1. 01 · Background4 courses

   • CalculusMATH 0100+−

     Take one

     • MATH 0100Single Variable Calculus, Part II

     APMA 0260 can replace MATH 0100 and MATH 0520/0540.

   • Differential equationsAPMA 0350+−

     Take one

     • APMA 0350Applied Ordinary Differential Equations
   • Linear algebra2 options+−

     Take one

     • MATH 0520Linear Algebra
     • MATH 0540Linear Algebra With Theory

     APMA 0260 can replace MATH 0100 and MATH 0520/0540.

   • Statistics5 options+−

     Take one

     • APMA 1650Introduction to Probability and Statistics with Calculus
     • APMA 1655Introduction to Probability and Statistics with Theory
     • CPSY 0900Statistical Methods
     • BIOL 0495Statistical Analysis of Biological Data
     • CSCI 1450Advanced Introduction to Probability for Computing and Data Science
2. ↓→

3. 02 · Core5 courses

   • Intro to neuroscienceNEUR 0010+−

     Take one

     • NEUR 0010The Brain: An Introduction to Neuroscience
   • Neurobiology2 options+−

     Take one

     • NEUR 1020Principles of Neurobiology
     • NEUR 1030Neural Systems
   • Intro computer science5 options+−

     Take one

     • CSCI 0111Computing Foundations: Data
     • CSCI 0112Computing Foundations: Program Organization
     • CSCI 0150Introduction to Object-Oriented Programming and Computer Science
     • CSCI 0170Computer Science: An Integrated Introduction
     • CSCI 0190Accelerated Introduction to Computer Science
   • Data structures2 options+−

     Take one

     • CSCI 0200Program Design with Data Structures and Algorithms
     • CSCI 0190Accelerated Introduction to Computer Science
   • Intro to computational neuroscienceNEUR 0680+−

     Take one

     • NEUR 0680Introduction to Computational Neuroscience
4. ↓→

5. 03 · Electives8 courses

   • Computational neuroscience10 options×2+−

     Take 2

     • CPSY 1492Computational Cognitive Neuroscience
     • NEUR 1440Mechanisms and Meaning of Neural Dynamics
     • NEUR 1660Neural Computation in Learning and Decision-Making
     • CPSY 1291Computational Methods for Mind, Brain and Behavior
     • CSCI 1810Computational Molecular Biology
     • NEUR 1940BDeep Learning in Neuroethology
     • NEUR 1630Big Data Neuroscience Ideas Lab
     • CPSY 1950Deep Learning in Brains, Minds and Machines
     • CPSY 1850Language Processing in Humans and Machines
     • NEUR 2110Statistical Neuroscience
   • Artificial intelligence9 options+−

     Take one

     • CSCI 0410Foundations of AI and Machine Learning
     • CSCI 1410Artificial Intelligence
     • CSCI 1411Foundations of AI and Machine Learning
     • CSCI 1420Machine Learning
     • CSCI 1430Computer Vision
     • CSCI 1460Computational Linguistics
     • CSCI 1470Deep Learning
     • DATA 2060Machine Learning: from Theory to Algorithms
     • HIST 1956SHistory of Artificial Intelligence
   • Upper-level neuroscience6 options×2+−

     Take 2

     • CPSY 1400The Neural Bases of Cognition
     • ENGL 1900ZNeuroaesthetics and Reading
     • ENGN 1220Neuroengineering
     • NEUR 1540Neurobiology of Learning and Memory
     • NEUR 1650Structure of the Nervous System
     • NEUR 1740The Diseased Brain: Mechanisms of Neurological and Psychiatric Disorders

     Common choices. Any 1000-level course that builds your understanding of neuroscience can count; check with your advisor.

   • Ethics9 options+−

     Take one

     • CSCI 1805Computers, Freedom and Privacy
     • CSCI 1951ICS for Social Change
     • DATA 0080Data, Ethics and Society
     • ECON 1000Using Big Data to Solve Economic and Social Problems
     • ENGN 1800Social Impact of Emerging Technologies: The Role of Scientists and Engineers
     • PHIL 0401Ethics of Digital Technology
     • PHIL 0403Ethics and Politics of Data
     • APMA 1910Race and Gender in the Scientific Community
     • STS 1700TRace, Gender, and Technology in Everyday Life
   • Additional electives24 options×2+−

     Take 2

     • APMA 0160Introduction to Scientific Computing
     • APMA 0200Introduction to Modeling
     • APMA 0360Applied Partial Differential Equations I
     • APMA 1070Quantitative Models of Biological Systems
     • APMA 1170Introduction to Computational Linear Algebra
     • APMA 1360Applied Dynamical Systems
     • APMA 1660Statistical Inference II
     • APMA 1690Computational Probability and Statistics
     • APMA 1710Information Theory
     • APMA 1740Recent Applications of Probability and Statistics
     • APMA 1860Graphs and Networks
     • APMA 1941DPattern Theory
     • BIOL 1435Computational Methods for Studying Demographic History with Molecular Data
     • BIOL 1555Methods in Informatics and Data Science for Health
     • CPSY 0450Brain Damage and the Mind
     • CPSY 0800Language and the Mind
     • CSCI 0535Linear Algebra for Machine Learning
     • CSCI 1010Theory of Computation
     • CSCI 1570Design and Analysis of Algorithms
     • CSCI 1951AData Science
     • CSCI 1951QTopics in Programming Languages
     • ENGN 2912PTopics in Optimization
     • MATH 1210Probability
     • PHYS 1610Biological Physics

     Recommended list. Any course already listed for the concentration also counts, but can’t double-count with a named requirement. Two semesters of independent study (NEUR 1970 or equivalent) can replace one elective.

6. ↓→

7. 04 · Capstone1 course

   • CapstoneNEUR 1900+−

     Take one

     • NEUR 1900Capstone

18 courses for the Sc.B.·Checked against the 2026–27 Bulletin on October 17, 2026.The Bulletin and your advisor have the final word ↗This semester's schedule on Courses@Brown ↗