Shape the Future with
Data Science & AI
An 18-month intensive master's program at Nexus University that turns analytical thinkers into machine learning engineers, AI architects, and data leaders driving real-world impact at the world's most ambitious organizations.
Why Nexus
Built Different.
Proven Results.
Not every master's program is the same. Here's what sets the Nexus MSDSAI apart from every other offer you'll evaluate this cycle.
Research-Led Teaching
Learn directly from faculty publishing at NeurIPS, ICML, and Nature Machine Intelligence. Every module weaves cutting-edge research into practical projects.
Industry-Embedded Curriculum
Six-month capstone with a partner company in fintech, healthtech, or climate AI. Graduate with a portfolio of production-grade work — not toy datasets.
Global Cohort, Local Impact
Join peers from 40+ countries. Weekly synchronous workshops bridge time zones; async recordings keep your schedule intact.
Guaranteed Mentorship
Every student is paired with a senior practitioner mentor from our 2,000+ alumni network at Google DeepMind, Stripe, and SpaceX.
Accredited Credential
WASC Senior College & University Commission accredited. Eligible for federal student aid. Stackable into our Ph.D. track if you choose to continue.
GPU Compute Access
Every student receives cloud GPU credits ($2,400 value) for model training throughout the program — no personal hardware required.
Curriculum
18 Months of Deliberate Practice
Four sequential terms take you from mathematical bedrock to production-ready AI systems — with an embedded industry capstone to ensure your skills are immediately applicable.
- Mathematical Foundations for ML (Linear Algebra, Probability)
- Python for Data Engineering & Statistical Computing
- Data Wrangling, Feature Engineering & Pipelines
- Supervised Learning: Regression, Classification, Trees
- Research Methods & Technical Communication
- Neural Networks: Architectures from MLP to Transformers
- Computer Vision: CNNs, Detection, Segmentation
- Natural Language Processing & Large Language Models
- Unsupervised Learning, Clustering & Dimensionality Reduction
- ML Systems Design & Scalable Infrastructure
- Reinforcement Learning & Decision-Making Systems
- Responsible AI: Fairness, Interpretability & Privacy
- Generative Models: Diffusion, GANs & Multimodal Systems
- MLOps, Monitoring & Production Model Lifecycle
- Domain Elective: HealthAI, FinAI, or ClimateAI
- Industry Partner Capstone Project (6-month engagement)
- Advanced Seminar: Frontier Research in AI
- Thesis or Applied Project Defense
- Career Lab: Negotiation, Networking & Thought Leadership
- Graduation & Alumni Induction
Career Outcomes
Where Nexus Graduates Land
Our outcome data is independently verified by a third-party auditor. We publish every number because we stand behind them.
Graduates by Role Title (Class of 2024)
Top Hiring Partners
Common Role Titles
Faculty
Learn from Practitioners, Not Just Professors
Our faculty blend elite academic research with real-world industry experience — so you learn both the theory and how it gets shipped.
Dr. Diana Reyes
Program Director · NLP & LLMs
Former Research Scientist at Google Brain. Published 40+ papers on multilingual models and constitutional AI. Joined Nexus in 2021.
Prof. Marcus Osei
Computer Vision & Robotics
Ph.D. MIT CSAIL. Co-founder of two computer vision startups. Expert in real-time perception systems for autonomous vehicles.
Dr. Sana Siddiqui
Reinforcement Learning & Decision AI
Previously at DeepMind AlphaFold team. Research focus on sample-efficient RL for biological discovery and drug development.
Prof. João Lemos
MLOps & AI Systems
Staff ML Engineer at Stripe (2016–2022). Built ML infrastructure serving 1B+ transactions/day. Author of "Production ML" (O'Reilly, 2023).
How to Apply
The Admissions Process
Straightforward. No GRE required. No hidden hurdles. Six steps from first click to confirmed seat in the Spring 2026 cohort.
Deadlines & Funding
Key Dates & Scholarships
Plan your application timeline and explore financial support options. Scholarship deadlines are firm — mark your calendar.
Application Dates
- Early Decision Deadline Nov 15, 2025
- Merit Scholarship Deadline Dec 1, 2025
- Regular Decision Deadline Mar 1, 2026
- Rolling Admissions Close Apr 15, 2026
- Program Start Date May 18, 2026
- Orientation Week May 12–16, 2026
Financial Support
-
Nexus Excellence Scholarship
Awarded to top 10% of applicants by academic and professional distinction. Highly competitive; apply via the main application.
Up to $18,000 -
Women in AI Fellowship
For women and non-binary applicants with demonstrated commitment to equity in tech. Includes mentorship cohort and speaker access.
Up to $12,000 -
First-Generation Scholar Award
For applicants who are the first in their family to pursue a graduate degree. Includes academic coaching and community network.
Up to $8,000 -
Corporate Tuition Reimbursement
Many employers reimburse graduate tuition. Nexus is approved by Google, Microsoft, and Stripe. We provide documentation support.
Varies by employer
FAQ
Questions We Hear Most
Still wondering? Browse our most-asked questions — or email us at admissions@nexus.edu anytime.
Is a background in math or computer science required?
Is the program fully online or does it require campus visits?
How does the industry capstone work?
Can I apply without GRE scores?
What is the expected weekly time commitment?
How long does a decision take after I submit?
Does Nexus offer tuition payment plans?
Apply Now
Start Your Application
Takes under 5 minutes to register your interest. Our team will reach out within 2 business days with next steps and your applicant portal login.
Your Next Chapter Starts Here.
Spring 2026 seats are limited to 60 students. Applications close March 1 — don't let your cohort fill without you.