columbia phd programs engineering

A Student’s Journey On The Bridge To PhD Program

Columbia’s Bridge to PhD program supports Eden Shaveet in her journey as a public health infodemiologist.

Find open faculty positions here .

Computer Science at Columbia University

Upcoming events, in the news, press mentions, dean boyce's statement on amicus brief filed by president bollinger.

President Bollinger announced that Columbia University along with many other academic institutions (sixteen, including all Ivy League universities) filed an amicus brief in the U.S. District Court for the Eastern District of New York challenging the Executive Order regarding immigrants from seven designated countries and refugees. Among other things, the brief asserts that “safety and security concerns can be addressed in a manner that is consistent with the values America has always stood for, including the free flow of ideas and people across borders and the welcoming of immigrants to our universities.”

This recent action provides a moment for us to collectively reflect on our community within Columbia Engineering and the importance of our commitment to maintaining an open and welcoming community for all students, faculty, researchers and administrative staff. As a School of Engineering and Applied Science, we are fortunate to attract students and faculty from diverse backgrounds, from across the country, and from around the world. It is a great benefit to be able to gather engineers and scientists of so many different perspectives and talents – all with a commitment to learning, a focus on pushing the frontiers of knowledge and discovery, and with a passion for translating our work to impact humanity.

I am proud of our community, and wish to take this opportunity to reinforce our collective commitment to maintaining an open and collegial environment. We are fortunate to have the privilege to learn from one another, and to study, work, and live together in such a dynamic and vibrant place as Columbia.

Mary C. Boyce Dean of Engineering Morris A. and Alma Schapiro Professor

{{title}} {{fullname}}

Courses This Semester

• {{title}} ({{dept}} {{prefix}}{{course_num}}-{{section}})

Morningside Campus Access Updates

School - June 26, 2024

Future-Proofing with Tech: How the Technology Management Program Curriculum Evolves with a Rapidly Advancing Industry

• Technology Management

Change is accelerating. Generative AI is redefining the shape and speed of innovation. Columbia’s Master of Science in Technology Management program prepares technology professionals to future-proof their practice.

Columbia University pioneered the Ivy League’s first Technology Management master’s program 20 years ago to empower professionals to make an economic and social impact in a world of constant change and disruption. We have institutionalized technology’s continuous improvement and deployment philosophy in our curriculum. 

As technology continues to redefine operations, a paradigm shift has occurred. Previously, strategy and policy preceded execution. Today, execution leads, followed by strategy, with policy lagging behind. This evolution underscores technology’s pivotal role as a catalyst for innovation, growth, and risk, and the Technology Management program curriculum has been revised to keep up with industry innovations.   

“Tech leadership demands constant learning and adaptation,” said Dr. Alexis Wichowski, Technology Management’s program director and a professor of practice. “Our newly revised M.S. in Technology Management program now reflects that reality. This program is not just for tech people or business people: It trains future leaders to be equally fluent in both.”

The program prepares students to thrive in these conditions with solid fundamentals in core technology and business principles and also offers continually updated courses that reflect current trends. The revised curriculum is the first of its kind to include an explicit focus on ethical leadership, reflecting the ways in which today’s technology leaders must negotiate not only business and technology decisions but also the application of concepts like “do no harm” in relation to the deployment of new technologies.

With options to study either  in person or  online with four immersive residencies, the program offers unparalleled insider access to one of the world’s most dynamic and innovative technology capitals. The faculty and program team, composed of industry-leading practitioners including 12x serial entrepreneur  Art Chang , global business leader and cybersecurity expert  Cristina Dolan , and leading technology and media corporate strategist  Stephano Kim , brings real-world experience and expertise to the classroom, equipping our students with the tools they need to succeed and the networks they need to achieve their career goals. 

The program doesn’t just teach theory—it also provides hands-on experiential learning through projects, internships, and networking opportunities. The curriculum constantly evolves to keep pace with the latest developments in technology and business, ensuring that students graduate with the skills and knowledge they need to excel in their careers. With a community of more than 1,000 alumni who have gone on to lead and innovate at companies like Google, Apple, NASA, and more, students will be equipped to adapt and keep pace in an ever-changing technology landscape as they join a global network of peers shaping the future.

About the Program

Columbia University's  Master of Science in Technology Management is designed to respond to the urgent need for strategic perspectives, critical thinking, and exceptional communication skills at all levels of the workplace and across all types of organizations.

Sign Up for the SPS Features Newsletter

Related news, summer special events in new york city learn about what’s happening on campus this summer. in the community, school new york city high school students complete their columbia stem program with a series of events at morgan stanley over twenty nyc high school students in columbia’s youth in stem program spent a week at the financial company. school honoring the achievements of the sps community at the sps excellence awards learn about the winners of this year's sps excellence awards. all news footer social links.

203 Lewisohn Hall 2970 Broadway, MC 4119 New York, NY, 10027

© Copyright 2019 Columbia University School of Professional Studies. Privacy Policy

• Our Curriculum

MAFN Faculty

• Career Development
• Practitioners’ Seminar 2024
• Practitioners’ Seminar 2023
• MAFN Alumni
• Meet the Team and Learn More
• Cross-registration for non-MAFN Students
• Incoming Student Summer Program
• New Student Information
• Degree Requirements
• Registration
• Career Development for Current Students
• Resources for Current Students
• Fieldwork Class (CPT)
• Director’s Office Hours
• Professional Resources and Partnerships
• For MAFN alumni
• For Employers

Graeme S. Baker

Irina Bogacheva

Irina Bogacheva is Director of Research at Millburn Ridgefield and Adjunct Professor within the Department of Mathematics.

Previously, she held senior research positions with Goldman Sachs, Deutsche Asset Management, QS Investors, and Franklin Templeton. Irina’s professional experience includes research and implementation of systematic global macro strategies, strategic and dynamic asset allocation, and active factor equity strategies. She holds Diploma in Mathematics from Moscow State University, Master’s in Economics from New Economic School (Moscow), and an MBA in Analytic Finance from the University of Chicago Booth School of Business, where she also completed Ph.D. coursework in Finance.

Alberto Botter

Adjunct Professor, Department of Mathematics MS, Columbia University Quantitative Methods in Investment Management

Alberto Botter is a Managing Director within the Portfolio Management department at AQR Capital Management. In this role, he oversees the construction, optimization, and management of AQR’s Equities Long-Short and Tax-Managed portfolios. Prior to AQR, Mr. Botter was a quant in the Wealth Strategies Group at Morgan Stanley. Alberto earned a B.S. and an M.S. in economics from the University of Bologna and an M.A. in Mathematics of Finance from Columbia University.

[email protected]

Luca Capriotti

Adjunct Professor, Department of Mathematics Ph.D., International School for Advanced Studies Credit Models, Computational Finance, and Machine Learning

Luca is the Global Head of Quantitative Strategies (QS) Credit at Credit Suisse, where he has worked since 2004. Previous to this role, he was the global head of QS for Credit and Structured Notes; he was the EMEA head and the US head of QS Global Credit Products; he worked in Commodities in New York and London, and he was part of the cross-asset modeling R&D group of QS in the London office.

Luca is also Visiting Professor at the Department of Mathematics at University College London, and an Adjunct Professor at Columbia University. His current research interests are in Credit Models, Computational Finance, and Machine Learning, with a focus on efficient numerical techniques for Derivatives Pricing and Risk Management, and applications of Adjoint Algorithmic Differentiation (AAD), which he has pioneered in Finance and Physics, and for which he holds a US Patent. Luca has published over 70 scientific papers, with the top 3 papers collecting to date over 1000 citations (h factor 27, i10 factor 49).

Prior to working in Finance, Luca was a researcher at the Kavli Institute for Theoretical Physics, Santa Barbara, California, working in High-Temperature Superconductivity and Quantum Monte Carlo methods for Condensed Matter systems. He has been awarded the Director’s fellowship at Los Alamos National Laboratory, and the Wigner Fellowship at Oak Ridge National Laboratory.

Luca holds an M.S. cum laude in Physics from the University of Florence, and an M.Phil. and a Ph.D. cum laude in Condensed Matter Theory, from the International School for Advanced Studies, Trieste.

[email protected]

Alexei Chekhlov

Capital Markets and Investments, Math Methods in Financial Price Analysis

Alexei Chekhlov is an Adjunct Assistant Professor within the Department of Mathematics. He has previously taught graduate courses such as “Mathematical Methods in Financial Price Analysis” and “Capital Markets and Investments.” Additionally, Chekhlov serves as the Head of Research and Partner at Systematic Alpha Management, LLC, and he previously worked as a research associate at Princeton University, where he conducted research on the theory of fluid turbulence. He has published repeatedly on fluid mechanics, the kinetic theory of gases, turbulence, and within the fields of applied mathematics and quantitative finance. Chekhlov earned his Ph.D. in Applied and Computational Mathematics from Princeton University.

[email protected]

Paul-Guillaume Fournié

MSc, Ecole Polytechnique, 2015 MSc, Corps des Mines, 2018

Interest Rates Models

Paul-Guillaume Fournié has been working as an Options Rates Quant at BNP Paribas’ New York office since 2019, heading the team locally since 2022. Covering both Vanilla and Exotic options, his most recent focus has been on the creation and adaptation of interest rates models to SOFR. He holds MSc in Mathematics and Physics from Ecole Polytechnique and MSc in Economics and Public Policy from Corps des Mines. Before switching to finance he occupied several positions in leading French industrial and telecommunications companies and served in France’s Ministry of the Economy.

[email protected]

Tat Sang Fung

Adjunct Professor, Department of Mathematics PhD, Columbia University, 1996 Numerical Methods in Finance and Risk Model Methodologies

Tat Sang Fung is an Adjunct Professor at Columbia University, and he currently teaches “Numerical Methods in Finances,” a graduate course required for students in the Mathematics of Finance program. His areas of expertise include Quantitative Finance and Risk Management Methodology, and Mathematics. Additionally, Fung serves as the Global Head of Risk Model Methodology at Jefferies and has held other senior positions in the finance industry at Finch Lead Inc. and Finastra. Fung earned his Ph.D. in Mathematics from Columbia University.

[email protected] | 212-854-5880 | Website

Julien guyon

Adjunct Professor, Department of Mathematics PhD, École des ponts ParisTech, 2006 Nonlinear Option Pricing

Julien Guyon is a professor of Applied Mathematics at Ecole des Ponts ParisTech, one of the oldest and one of the most prestigious French Grandes Ecoles, where he holds the BNP Paribas Chair Futures of Quantitative Finance. Before joining Ecole des Ponts, Julien worked in the financial industry for 16 years, first in the Global Markets Quantitative Research team at Societe Generale in Paris (2006-2012), then as a senior quantitative analyst in the Quantitative Research group at Bloomberg L.P., New York (2012-2022). Julien was also an adjunct professor in the Department of Mathematics at Columbia University and at the Courant Institute of Mathematical Sciences, NYU, from 2015 to 2022; and previously at Universite Paris Diderot and Ecole des Ponts ParisTech. Julien serves as an Associate Editor of Finance & Stochastics, SIAM Journal on Financial Mathematics, Quantitative Finance, and Journal of Dynamics and Games. He is also a Louis Bachelier Fellow.

Julien co-authored the book Nonlinear Option Pricing (Chapman & Hall, 2014) with Pierre Henry-Labordere. He has published more than 20 articles in peer-reviewed journals (including Finance and Stochastics, SIAM Journal on Financial Mathematics, Quantitative Finance, Risk, Journal of Computational Finance, Annals of Applied Probability, Stochastic Processes and their Applications) and is a regular speaker at international conferences, both academic and professional. His main research interests include volatility and correlation modeling, option pricing, optimal transport, and numerical probabilistic methods.

A big soccer fan, Julien has also published articles on fairness in sports both in academic journals and in top-tier newspapers including The New York Times, The Times, Le Monde, and El Pais. Some of his suggestions for draws and tournament design have been adopted by FIFA and UEFA, including a new, fairer draw method for the FIFA World Cup; a fairer format for the 2026 FIFA World Cup (in progress); a new knockout bracket for the UEFA Euro; and an optimized schedule of the UEFA Champions League. His paper “Risk of collusion: Will groups of 3 ruin the FIFA World Cup?” won the 2nd prize at the 2021 MIT Sloan Sports Analytics Conference, the biggest sports analytics event in the world.

Ioannis Karatzas

Ioannis Karatzas is the Eugene Higgins Professor of Applied Probability in Columbia’s Department of Mathematics, whose research interests include Probability and Mathematical Statistics, Random Processes, Stochastic Analysis, Optimization, and Mathematical Economics and Finance. He has served as the managing editor for the book series Applications of Mathematics and on numerous editorial boards such as “Applied Mathematics & Optimization,” “Stochastics,” the “SIAM Journal on Mathematical Analysis,” and the “SIAM Journal on Control & Optimization.” His book with Steven Shreve, Brownian Motion and Stochastic Calculus, first published in 1987, is the standard reference within the field of Stochastic Analysis. Karatzas earned his Ph.D. from Columbia University and helped build and establish this Mathematics of Finance Master’s program.

[email protected] | Website

David X. Li

Adjunct Professor, Department of Mathematics PhD, University of Waterloo, 1995 Credit analytics, Risk Management, FinTech

David X. Li currently teaches at Shanghai Advanced Institute of Finance, Shanghai Jiaotong University. Previously, he held senior positions at various leading financial institutions for more than two decades in the areas of new product development, risk management, asset/liability management and investment analytics.

David has a PhD degree in statistics from the University of Waterloo, Master’s degrees in economics, finance and actuarial science, and a bachelor’s degree in mathematics. Dr. Li was one of the early practitioners in credit derivatives. His work of using copula functions for credit portfolio modeling has been widely cited by academic researchers, broadly used by practitioners for credit portfolio trading, credit risk management and credit rating, and well covered by media such as Wall Street Journal, Financial Times, Nikkei, CBC News.

[email protected]

Bryan Liang

Adjunct Professor, Department of Mathematics PhD, University of Michigan, 2002 Non-Linear Option Pricing

Bryan Liang is an Adjunct Assistant Professor in the Department of Mathematics, specializing in Derivatives Modelling. Additionally, Liang has extensive experience as a quantitative analyst in the finance industry, currently working as a Quantitative Researcher in the Quantitative Financial Research Group for Bloomberg. Liang earned his Ph.D. in Mathematics from the University of Michigan.

Amal Moussa

Adjunct Professor, Department of Mathematics PhD, Columbia University, 2011 Modeling and Trading Derivatives

Dr. Amal Moussa is a Managing Director at Goldman Sachs, where she leads the Single Stocks Exotic Derivatives Trading desk. Prior to that, Amal held senior-level positions in equity derivatives trading at other leading financial institutions such as J.P. Morgan, UBS, and Citigroup. In addition to her work in Markets, Amal is an Adjunct Professor at Columbia University, where she teaches a graduate course on Modeling and Trading Derivatives in the Mathematics of Finance Masters program.

Amal has a Ph.D. in Statistics, obtained with distinction, from Columbia University. Her thesis “Contagion and Systemic Risk in Financial Networks” shed light on the importance of the network structure in identifying systemic financial institutions and formulating regulatory policies and has been cited by several scholars and industry professionals, including former Federal Reserve president Janet Yellen. She was also awarded the Minghui Yu Teaching Award at Columbia University. Prior to her Ph.D., Amal graduated with a Masters in Mathematical Finance from Sorbonne University (former Paris VI) and a Grande Ecole engineering degree from Télécom Paris.

Amal is a board member of Teach for Lebanon, an NGO working to ensure that all children in Lebanon have access to education regardless of socioeconomic background, and she is an active member of the Women in Trading network at Goldman Sachs.

[email protected]

Adjunct Assistant Professor, Department of Mathematics PhD, Columbia University, 1996 Programming for Quantitative & Computational Finance

Ka Yi Ng is an Adjunct Assistant Professor in the Department of Mathematics with extensive quantitative experience in FinTech. Currently, Ng works at Calypso Technology Inc. and serves as an advisor at Finch Lead Inc. Ng previously worked at Wall Street Systems and ION. At Columbia, her interests include Derivatives and Structured Products Development, and Machine Learning. Ng earned her Ph.D. in Mathematics from Columbia University.

[email protected] | Website

Lars Tyge Nielsen

Director of the Mathematics of Finance MA program PhD, Harvard University, 1985

Lars Tyge Nielsen is the Director of the Mathematics of Finance MA (MAFN) program. He was a Chaired Professor, Associate Dean, and Director of the PhD program at INSEAD, the international business school in Fontainebleau, France and Singapore and now Abu Dhabi. He has held academic appointments at Nankai University, China (Chair Professor), NYU, UT Austin, Copenhagen Business School and the University of Copenhagen. Dr. Nielsen spent 13 years on Wall Street as an executive at various institutions including Morgan Stanley and Goldman Sachs.

[email protected] | 212-854-4306 | Website

Colm O’Cinneide

Adjunct Professor, Department of Mathematics PhD, University of Kentucky, 1983 Multi-Asset Portfolio Management

Colm O’Cinneide is an adjunct professor in the Department of Mathematics. He has worked in quantitative asset allocation and portfolio construction roles for the past 20 years at Deutsche Asset Management, QS Investors, and Franklin Templeton Investments, where he is currently an SVP. He was a partner at QS investors. Prior to this, he worked in academia from 1982 to 2000 and held tenured positions in Mathematical Sciences (Statistics) at the University of Arkansas and Industrial Engineering (Operations Research) at Purdue University. He has 40+ refereed publications related to probability, statistics, numerical analysis, and finance, with 1300+ citations and a track record of National Science Foundation funding. He has a PhD in Statistics from the University of Kentucky.

[email protected]

Inna Okounkova

Editor-in-Chief of the Journal of Investment Consulting, Wealth Management eJournal, and Wealth Management Editor’s Choice eJournal; formerly Director of Investment Strategy at AB Bernstein; prior to that head of Strategic Asset Allocation Portfolio Management and partner at QS Investors, LLC and head of Strategic Asset Allocation Portfolio Management at Deutsche Asset Management; Past President and Director of the Honorary Board of the Society of Quantitative Analysts; MS in Mathematical Economics and ABD from Moscow State University; MBA from the University of Chicago (1999).

[email protected]

Rosanna Pezzo-Brizio

Rosanna Pezzo-Brizio is an Adjunct Professor in the Department of Mathematics, specializing in Fixed Income Portfolio Management. Pezzo-Brizio has a vast array of professional, senior experience, working at Goldman Sachs, Greenwich Capital Markets, Intesa Sanpaolo. Currently, she is the Director of the Investment Consulting Group at New York Life Investments. Pezzo-Brizio holds a Ph.D. in Mathematics of Finance from the University of Brescia. Additionally, she graduated from Columbia University’s Mathematics of Finance program in 1998 as one of the program’s first classes.

[email protected]

Franz Rembart

Adjunct Assistant Professor, Department of Statistics PhD, University of Oxford, 2016 Statistical Inference / Time-Series Modelling

[email protected]

Gordon Ritter

PhD, Harvard University Machine Learning for Finance

Professor Ritter is founder and CIO of Ritter Alpha LP, a registered investment adviser running systematic absolute-return trading strategies across multiple asset classes and geographical regions. Before Ritter Alpha, he was a senior portfolio manager at GSA Capital and a Vice President in the Statistical Arbitrage Group at Highbridge Capital Management (HCM). Gordon completed his PhD in mathematical physics at Harvard University and his Bachelors’ degree with honors in Mathematics from the University of Chicago. While at Harvard, he published several papers in the areas of quantum field theory, differential geometry, quantum computation and abstract algebra. His current research is on portfolio optimization and statistical machine learning. Notable publications include “Optimal turnover, liquidity, and autocorrelation,” with @Bastien Baldacci of @ Université Paris Dauphine – PSL and @Jerome Benveniste of @New York University, Risk, 2022, and “Machine learning for trading,” Risk, 2017. In recognition of the latter publication, Professor Ritter was named Buy-Side Quant of the Year in 2019.

[email protected]

Renzo Silva

Adjunct Assistant Professor, Department of Mathematics MBA, Columbia Business School Machine Learning for Finance

Renzo Silva is an Adjunct Assistant Professor in the Department of Mathematics. In addition to his teaching position, Mr. Silva has extensive professional experience in the Financial Technology industry, and he currently serves as a Software Engineering Manager at Google. Previous experiences include Software Development Manager at Amazon, CTO at P1 Capital, and Managing Director at the New York Stock Exchange. Mr. Silva is a graduate of Columbia University’s Mathematics of Finance MA program, and he also holds an MBA in Finance and Economics from Columbia Business School. His research interests include Artificial Intelligence and Machine Learning, Optimization, Simulation, and Quantum Computing.

[email protected]

Mikhail Smirnov

Mikhail Smirnov is a Senior Lecturer in Discipline in the Department of Mathematics and was Director of the Mathematics of Finance program in 1998-2012. His research interests include Quantitative Portfolio Management, Quantitative Investment Strategies, and Risk Measurement. He holds a Ph.D. from Princeton University.

[email protected] | 212-854-6955 | Website

Harvey J. Stein

Dr. Harvey J. Stein left Bloomberg in March 2022 after a distinguished 28 3/4 year career where he built quant and engineering teams and introduced a variety of innovations in option pricing, computation and risk analysis. Dr. Stein is well known in the industry, having published and lectured on credit risk modeling, financial regulation, interest rate and FX modeling, CVA calculations, mortgage-backed security valuation, COVID-19 data analysis, and other subjects. Dr. Stein is on the board of directors of the IAQF, a board member of the Rutgers University Mathematical Finance program, an adjunct professor at Columbia University, and an organizer of the IAQF/Thalesians financial seminar series. He’s also worked as a quant researcher on the Bloomberg for President campaign. He received his BA in mathematics from WPI in 1982 and his PhD in mathematics from UC Berkeley in 1991. He recently started a new position as Senior VP, Quant Research at Two Sigma.

[email protected]

Statistical Interference/ Time-Series Modeling

Yisha Yao is an Assistant Professor with the Department of Statistics. Her research interests span a wide range of modern high-dimensional statistics, including but not limited to nonparametric methods, statistical inferences, mixture models, FDR control, iterative algorithms, tensor analysis, and applications in biomedical sciences. She obtained her PhD in statistics from Rutgers University (New Brunswick) in 2021, and then spent two years at Yale University as a postdoctoral researcher in biostatistics.

[email protected]

Adjunct Professor, Department of Mathematics AB/SM, Harvard University, 1998 Hedge Funds Strategies and Risk

Eric Yeh is an Adjunct Professor in the Department of Mathematics, specializing in Quantitative Investment Strategies. Yeh’s vast professional experience in the Finance industry includes senior positions at Morgan Stanley, Deutsche Bank, Tower Research Capital, and AllianceBernstein. Currently, he is President of Vermillion Leaf Capital LLC and an advisor to multiple investment managers, including the $100M hedge fund he previously co-founded. Yeh holds an AB in Mathematics and an SM in Computer Science from Harvard University.

[email protected]

Virtual Tour

Experience University of Idaho with a virtual tour. Explore now

• Discover a Career
• Find a Major
• Experience U of I Life

More Resources

• Admitted Students
• International Students

Take Action

• Find Financial Aid
• View Deadlines
• Find Your Rep

Helping to ensure U of I is a safe and engaging place for students to learn and be successful. Read about Title IX.

Get Involved

• Clubs & Volunteer Opportunities
• Recreation and Wellbeing
• Student Government
• Student Sustainability Cooperative
• Academic Assistance
• Safety & Security
• Career Services
• Health & Wellness Services
• Register for Classes
• Dates & Deadlines
• Financial Aid
• Sustainable Solutions
• U of I Library

• Upcoming Events

Review the events calendar.

Stay Connected

• Vandal Family Newsletter
• Here We Have Idaho Magazine
• Living on Campus
• Campus Safety
• About Moscow

The largest Vandal Family reunion of the year. Check dates.

Benefits and Services

• Vandal Voyagers Program
• Vandal License Plate
• Submit Class Notes
• Make a Gift
• View Events
• Alumni Chapters
• University Magazine
• Alumni Newsletter

U of I's web-based retention and advising tool provides an efficient way to guide and support students on their road to graduation. Login to VandalStar.

Common Tools

• Administrative Procedures Manual (APM)
• Class Schedule
• OIT Tech Support
• Academic Dates & Deadlines
• U of I Retirees Association
• Faculty Senate
• Staff Council

Campus Locations

Physical Address: Bruce M. Pitman Center 875 Perimeter Drive MS 4264 Moscow, ID 83844-4264 [email protected] uidaho.edu

Phone: 208-885-6111

Fax: 208-885-9119

Find Your Degree

The University of Idaho offers more than 200 academic programs for undergraduate and graduate students, helping you to find your perfect academic fit.

Uncover your passion. What makes you tick? What drives and inspires you to investigate, learn more and see yourself making an impact in the future? The University of Idaho’s academic offerings transform curiosity into a career and help you reach your personal and professional goals.

We continually strive to improve our state’s industries with knowledgeable, forward-thinking professionals ready to innovate, invigorate and uplift future generations. Our academic programs reflect this while offering unbeatable value  through lower tuition and enriching applied learning opportunities.

Explore all majors and graduate programs based on your interests with Degree Finder  now or sort by college, school or initiative below.

Colleges and Schools

Pursue what energizes you. Our colleges and schools encompass undergraduate majors, minors and graduate programs in food and agriculture, natural resources, art and architecture, business, education, engineering, the liberal arts and law. Discover something that resonates with your vision and values.

WWAMI Medical Education Program

Train to serve others in the Pacific Northwest as a primary care doctor. Through a partnership between U of I, the University of Washington School of Medicine and the states of Washington, Wyoming, Alaska, Montana and Idaho, this cost-effective dual-enrollment program  graduates medical professionals prepared to support their communities through quality health care. Idaho WWAMI students will spend their first two years at the University of Idaho before completing their required clinical experiences, based out of Idaho and/or across the WWAMI region.

• Agricultural and Life Sciences
• Art and Architecture
• Business and Economics
• Education, Health and Human Sciences
• Engineering
• Graduate Studies
• Letters, Arts and Social Sciences
• Natural Resources

Online Programs

Learning knows no bounds. Let your unbridled curiosity flourish in one of U of I’s online degree programs . Addressing state and regional economic needs, our online degrees help you reach for new goals by expanding your skill set.

Learn more about our Online Programs

Campuses and Centers

Begin your academic journey in Moscow, or study closer to home or your workplace. The University of Idaho maintains campuses and Educational Centers across the state for courses and research. Explore each location’s undergraduate and graduate programs, initiatives and resources.

Idaho’s tightly knit community is woven into our main campus in North Idaho.

Learn About Moscow

Online Learning

Learning knows no bounds. Let your unbridled curiosity flourish in one of U of I’s online degree programs.

The University of Idaho Boise offers diverse educational and research programs in the growing Treasure Valley region.

Learn About Boise

Coeur d'Alene

The University of Idaho Coeur d'Alene provides the opportunity to complete bachelor's, master's and certification programs within the picturesque setting of Kootenai County.

Learn About Coeur d'Alene

Idaho Falls

The University of Idaho, Idaho Falls offers courses from the following colleges: Agriculture and Life Sciences, Education, Engineering, Science, Graduate Studies, and Letters, Arts and Social Sciences.

Learn About Idaho Falls

Twin Falls Research & Extension Center

The Twin Falls Research and Extension Center office supports the Cooperative Extension system and agricultural research programs in south central Idaho.

Learn About the Twin Falls Research Center

Other Ways to Learn

Some journeys have no end. Continue your quest for knowledge with our dual-credit, independent study, summer session and professional development courses.

• Dual Credit
• Extension Courses
• Independent Study
• Summer Session

Academic Resources

Get started on your application, calculate tuition and fees or check out our list of courses and academic calendar for the upcoming semester. For current students, find more information about academic support and career services.

Learn More About U of I’s Academic Programs

Interested in a major or program but don’t know what to expect? Fill out a request for information  today.

• Determine Costs
• Find Scholarships
• Explore Admission Requirements
• Find a Class
• Request a Transcript
• Academic Calendar
• Academic Support
• STEM Initiatives
• Moscow Library
• College of Law Library

Viewers in Emmett and the surrounding areas may experience transmission issues. Learn more

Moscow Librarian Named 2024 Digital Innovator

Idaho Public Television (IdahoPTV) announced today that Faye Nagler, Moscow School District Elementary Librarian and STEM Coordinator, has been chosen as the 2024-2025 IdahoPTV Digital Innovator .

Every year, IdahoPTV recognizes one K-12 educator in Idaho who goes above and beyond to engage students and enhance learning by integrating technology or digital media into the classroom. IdahoPTV is dedicated to supporting teachers throughout the state and fostering collaboration between teachers. 

Principal Brian Smith of Westpark Elementary in Moscow says Nagler inspires students and staff alike with her work to create a fully inclusive digital learning environment. “Mrs. Nagler drives her STEAM (science, technology, engineering, art and math) program with the mission of ensuring all students have equitable access and opportunity to learn and explore many technology and digital learning formats. This includes utilizing coding programs, various robotics, as well as exploring the vast world connected to keyboarding and the utilization of personal laptops. Her passion and energy met with a tireless work ethic to write grants and fund unique technologies has created a program in which students eagerly dive into 21st-century learning without fear of lack of exposure or experience at home. Mrs. Nagler inspires students and staff alike in her drive to create a fully inclusive digital learning environment. I am convinced that without such a talented educator we would be navigating difficult obstacles in exposing and exploring all that innovative digital instruction has to offer. Mrs. Nager truly exemplifies the title of Digital Innovator.”

“We are honored to welcome Faye to the IdahoPTV Digital Innovator family,” says Kari Wardle, IdahoPTV Education Manager. “We were so impressed by all that Faye does for the Moscow School District, not only for the students but also for other educators.” Wardle adds, “She has been an inspiration to those around her, and I’m looking forward to working with her in the upcoming school year.”  

Nagler says she has a passion for STEAM and strives “to create lessons that link technology our students love using — and that provides real-world connections — with differentiated learning for all ages and abilities. Being a Digital Innovator lets me give students skills that they learn today and can build on in the future.” 

IdahoPTV will send Nagler to the Northwest Council for Computer Education (NCCE) Conference, provide her with a Classroom Innovation Kit of her own design (worth up to $1,000), and bring her into their team of digital innovators and educators working to help Idaho teachers integrate technology into their classrooms.