MPS in Applied Machine Intelligence

The MPS in Applied Machine Intelligence is a comprehensive 23-month program designed to equip students with advanced skills in artificial intelligence and machine learning. It begins with 8 months of online study with IIIT Bangalore for the Advanced Certificate Program in Data Science, followed by 15 months of on-campus education at Northeastern University in the USA. The curriculum embraces a multidisciplinary problem-solving approach by integrating computer science, analytical skills, industry expertise, creativity, and leadership. Students can specialize in AI for Finance, AI for HR, AI for Business ventures, or AI for Healthcare. This unique structure enables significant cost savings compared to studying the full degree in the USA, while providing eligibility for up to 36 months of STEM OPT after graduation. The program includes a valuable co-op component, allowing students to gain real-world experience in industry settings.

₹ 61,90,000

Course Start Date: 10th Nov, 2026

Application Deadline: 10th Nov, 2026

Duration: 23 Months

English

Overview

The MPS in Applied Machine Intelligence is a 23-month program that combines online study with IIIT Bangalore and on-campus education at Northeastern University in the USA. The program begins with 8 months of online study for the Advanced Certificate Program in Data Science with IIIT Bangalore, known for its practice-oriented learning and entrepreneurial support. IIIT Bangalore has incubated more than 20 startups and published over 1000 publications, with graduate programs ranked among the best in India. For the following 15 months, students transfer to Northeastern University, founded in 1898 and recognized as a global research university renowned for its leadership in experiential lifelong learning. Northeastern's distinctive approach integrates real-world experience with education, research, and innovation, enabling students to make a significant impact worldwide. The university is featured at #44 Best Universities Nationally in 2023 and ranked #1 in the US for Co-op Programs in 2024. The program offers concentrations in AI for Finance, AI for HR, AI for Business ventures, and AI for Healthcare.

Why MPS (Master of Professional Studies)?

The MPS in Applied Machine Intelligence program offers exceptional value for students seeking advanced education in artificial intelligence. By combining online study in India with on-campus education in the USA, students can save up to ₹12 lakhs compared to studying the full degree in the USA. The program provides eligibility for up to 36 months of STEM OPT after graduation, giving students valuable work experience in the USA. With an average salary of approximately ₹72 lakhs after completion of the course in the USA, graduates can expect excellent return on investment. Northeastern University is ranked #44 among Best Universities Nationally in 2023 and #1 in the US for Co-op Programs in 2024. The co-op component offers students the opportunity to apply classroom knowledge in real-world settings, enhancing their industry connections and resume. Northeastern's curriculum embraces a multidisciplinary problem-solving approach, integrating computer science, analytical skills, industry expertise, creativity, and leadership. This unique combination empowers students to develop a versatile skill set and effectively navigate the dynamic and constantly evolving AI landscape.

What does this course have to offer?

Key Highlights

Save up to ₹12 lakhs compared to studying full degree in USA
Eligible for up to 36 months STEM OPT after graduation
Average salary in USA after completion: ₹72 lakhs
Northeastern University ranked #44 Best Universities Nationally (2023)
Ranked #1 in the US for Co-op Programs (2024)
Dual certification: IIITB certificate and Northeastern University degree
Experiential AI curricula with multidisciplinary approach
Co-op program for real-world work experience
Specializations in AI for Finance, HR, Business ventures, and Healthcare
End-to-end application, counseling and visa application assistance

Who is this programme for?

Students with strong technical backgrounds in computer science or IT
Individuals seeking to specialize in artificial intelligence and machine learning
Aspiring machine learning engineers, data scientists, and data analysts
Professionals looking to develop AI expertise for specific domains
Individuals interested in AI applications for finance, healthcare, HR, or business
Students seeking experiential learning through co-op opportunities
Candidates looking for cost-effective pathways to US technology education
Individuals targeting high-paying technology roles in the US market

Minimum Eligibility

Bachelor's degree* with minimum of 50% and above marks are eligible to apply*
Bachelor's degree awarding university/institute should be H+
TOEFL iBT(not home edition) >= 80 or IELTS score >= 6.0

Not sure whether you qualify for this programme?

Admission Overview

The admission process consists of four key steps. First, applicants must complete their application and submit the required details, including work experience and educational background. Required documentation includes class 12th transcripts, undergraduate degree, transcripts and semester marksheets, passport copies, statement of purpose, one letter of recommendation, resume, and proof of English proficiency. Next, applicants submit their Statement of Purpose to apply for scholarship consideration. Upon review by the Admissions Committee and qualification, an offer letter will be sent confirming admission to the course.

Selection process

How to apply?

Curriculum

The curriculum is designed to provide comprehensive education in artificial intelligence and machine learning across both online and on-campus components. During the 8-month online program with IIIT Bangalore, students cover essential data science fundamentals through the Advanced Certificate Program in Data Science. The curriculum includes tools such as Python, MySQL, and Excel, as well as important concepts like statistics, exploratory data analytics, regression, clustering, tree models, model selection, principal component analysis, machine learning, artificial intelligence, aligned mathematical theory, applications, and signal processing. After completing the online component, students transition to Northeastern University for a 15-month on-campus program in Applied Machine Intelligence. Northeastern's curriculum embraces a multidisciplinary problem-solving approach by integrating computer science, analytical skills, industry expertise, creativity, and leadership. The program offers concentrations in AI for Finance, AI for HR, AI for Business ventures, and AI for Healthcare. A key feature is the co-op program, where students apply classroom knowledge in real-world work settings, gaining valuable industry experience and connections.

There are 2 semesters in this course

The MPS in Applied Machine Intelligence program is structured in two distinct phases. The first phase is the 8-month online Advanced Certificate Program in Data Science delivered by IIIT Bangalore. This component covers essential tools like Python, MySQL, and Excel, along with key data science concepts including statistics, exploratory data analytics, regression, clustering, tree models, model selection, principal component analysis, machine learning, artificial intelligence, and signal processing. The second phase is the 15-month on-campus program at Northeastern University in the USA. During this phase, students focus on applied machine intelligence with concentrations in areas like AI for Finance, AI for HR, AI for Business ventures, and AI for Healthcare. The program includes a co-op component, allowing students to gain real-world experience through work placements. Full-time co-op requires 32-40 hours/week over 3-6 months, while part-time co-op involves 15-31 hours/week over the same period. Throughout both phases, students benefit from expert faculty instruction and develop a versatile skill set to navigate the dynamic AI landscape.

IIIT Bangalore - Advanced Certificate Program in Data Science

8 Months to complete

Northeastern University - MPS in Applied Machine Intelligence

15 Months to complete

Programme Length

The MPS in Applied Machine Intelligence is a 23-month program divided into two components: 8 months of online study with IIIT Bangalore and 15 months of on-campus study at Northeastern University in the USA. The online component requires a time commitment of 12-15 hours per week, while the on-campus component at Northeastern is a full-time program with an appropriate workload, including the possibility of co-op experience. The program offers flexibility in the online phase while providing the full immersive experience during the on-campus component. Northeastern University offers three intakes for students coming through this accelerator route: January (Spring), April, and September (Fall). Students will transfer to the nearest intake that is at least 3 months away from completion of the IIIT Bangalore program. The co-op component requires a commitment of 32-40 hours/week over 3-6 months for full-time co-op, or 15-31 hours/week over the same period for part-time co-op.

Tuition Fee

The MPS in Applied AI program at Northeastern University through accelerated pathway costs approximately ₹61.9 Lakhs total, including ₹5.25 Lakhs for the 8-month online phase, ₹34.9 Lakhs for the 15-month on-campus phase, and ₹21.8 Lakhs for living expenses in Boston. This represents a significant savings of ₹20.4 Lakhs (28% reduction) compared to direct admission costs of ₹82.5 Lakhs. Students can benefit from merit-based scholarships of up to $6,000, with additional regional scholarships available for those transferring to the Portland campus. The program offers flexible phased payment options split between the online and on-campus phases, allowing for better financial planning. With an average post-graduation salary of $88K and earning potential of ₹2.4 Cr over 3 years, the program provides strong return on investment alongside access to education loan support and financial counseling through upGrad.

Fee Structure

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About the University

Northeastern University is a private research university founded in 1898 and located in Boston, Massachusetts. The university is renowned for its experiential learning model, high-impact research, deep partnerships, and worldwide reach. Northeastern offers a wide range of undergraduate and graduate programs across various disciplines, including business, engineering, computer science, health sciences, and the humanities.The university's unique co-op program allows students to gain practical experience through paid internships, research positions, and global learning opportunities. This hands-on approach to education has made Northeastern a leader in preparing students for successful careers after graduation.Northeastern has a strong focus on research, with over $290 million in research expenditures annually. The university's research centers and institutes tackle complex challenges in areas such as cybersecurity, healthcare, and sustainability. Northeastern's global presence includes campuses and research facilities in Boston, Seattle, Silicon Valley, Toronto, and Vancouver, as well as partnerships with institutions worldwide.

#40

QS World University Rankings 2024

20,000+ students

Student Enrollment

1:14

Faculty-Student Ratio

Affiliation & Recognition

#40

QS World University Rankings 2024

20,000+ students

Student Enrollment

1:14

Faculty-Student Ratio

Affiliation & Recognition

Featured Faculties

These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.

Adam Powell

Adam C. Powell, Ph.D., is the President of Payer+Provider Syndicate, a consulting firm specializing in managed care and healthcare delivery. As a healthcare economist, Dr. Powell uses quantitative techniques to address issues related to healthcare technology, quality, and operations. His peer-reviewed research has focused on mHealth and high-cost medical care areas, while his extensive expertise in global health informatics has led to numerous lectures across Asia. In addition to his role at Payer+Provider, he is a Senior Partner at SSB Solutions and serves on editorial boards for Discover Health Systems and Journal of Participatory Medicine. Dr. Powell co-founded the Society for Digital Mental Health, driven by his interest in mental health apps. Holding advanced degrees from the Wharton School at the University of Pennsylvania, he also teaches health economics, supply chain operations, and global health informatics at Northeastern University, Thomas Jefferson University, and the Indian School of Business. Dr. Powell's thought leadership has been featured in over 200 media outlets, including JAMA, CNN, Forbes, and NPR.

Cansu Canca

Dr. Cansu Canca, Director of Responsible AI Practice at the Institute for Experiential AI and a Research Associate Professor at Northeastern University's Department of Philosophy and Religion, specializes in applied ethics with a focus on artificial intelligence. As the founder of AI Ethics Lab, she developed the Puzzle-solving in Ethics (PiE) Model to integrate ethical considerations into AI innovation, which underpins the EAI's Responsible AI framework. Her consultancy work includes collaborations with the United Nations Centre for AI & Robotics and INTERPOL, where she helps create guidelines for responsible AI in law enforcement. Dr. Canca actively participates in various ethics advisory and editorial boards, including the World Economic Forum’s AI Governance Alliance, and is the founding editor of AI & Ethics (Springer Nature). With a background in bioethics, she has held positions at prestigious institutions such as Harvard and the World Health Organization. Recognized as one of Boston's 30 Influential Women Advancing AI and among the 100 Brilliant Women in AI Ethics, Dr. Canca continues to lead discussions on AI ethics globally.

Craig Johnson

Craig is a thought leader, innovator, and entrepreneur who serves as part-time faculty in the Healthcare Informatics graduate program, concentrating on the business applications of machine learning and decision support in healthcare. His career began as a data scientist at NASA’s Jet Propulsion Laboratory, where he developed a communication planning application for deep-space missions, including Pioneer, Voyager, and Galileo. This expertise has allowed him to effectively translate complex technological solutions to healthcare challenges, focusing on prediction, scheduling, planning, resource allocation, and campaign management. Currently, he is the co-founder and Chief Science/Technology Officer at Decision Point Healthcare and also the founder and principal consultant at Synthesis Health Systems.

Curtis Carlson

Dr. Curtis R. Carlson is the founder and CEO of Practice of Innovation, LLC, recognized for his pioneering work in value creation best practices and advocacy for innovation, education, and economic development. He served on President Obama’s National Advisory Council on Innovation and Entrepreneurship and was the President and CEO of SRI International from 1998 to 2014, where he successfully transformed the organization from a long-term decline into a global model for high-value innovation, resulting in breakthroughs such as robotic surgery, HDTV, and Siri on the Apple iPhone. His teams received two Emmy Awards for outstanding technical achievement for their work in optimizing satellite broadcast image quality and developing HDTV. Carlson has also played a significant role in founding over two dozen companies and co-authored the acclaimed book Innovation: The Five Disciplines for Creating What Customers Want with William Wilmot, which outlines the value creation practices that drove SRI's transformation.

Dr. John D. Halamka

For over 40 years, Dr. John D. Halamka, M.D., M.S., has been at the forefront of technology and policy initiatives that enhance information exchange among clinical, educational, and administrative stakeholders. His commitment to multidisciplinary collaboration and career development spans government, academia, and industry, where he works to establish consortia that accelerate advancements in informatics and patient care. As the Dwight and Dian Diercks President of the Mayo Clinic Platform, he is currently researching algorithmic bias alongside Young J. Juhn, M.D., M.P.H., a project with significant implications for artificial intelligence and health equity, highlighting its importance to the Mayo Clinic. Dr. Halamka is also dedicated to educating future healthcare technology professionals, leveraging his extensive experience to teach a diverse range of audiences, from medical students to international policymakers, having previously served as a professor at Harvard Medical School for 25 years. His unique blend of research, clinical expertise, and passion for teaching has facilitated the implementation of innovative technologies in various settings. During the COVID-19 pandemic, he co-led the COVID-19 Healthcare Coalition and the national convalescent plasma initiative, The Fight Is In Us, and actively participated in Harvard's Clinical and Translational Science Awards program, contributing as the co-principal investigator of Harvard's i2b2 project and Harvard Catalyst efforts.

Dr. Curtis Odom

Professor Curtis Odom is an Associate Teaching Professor of Management and Organizational Development, the Leader of the Coaching, Mentoring & Sponsorship Institute at The Conference Board, and a Senior Council Member at the Forbes Coaches Council. He is an entrepreneur, business owner, best-selling author, and former Fortune 100 executive who applies his extensive experience to teach, consult, and coach for impactful results. With a scholarly foundation from Pepperdine University, Professor Odom's background as a management consultant significantly shapes his research and teaching methodologies. He emphasizes experiential, participant-centered learning, utilizing various techniques like case analyses, group discussions, simulations, and team exercises to motivate and inspire students, fostering a sense of ownership over their educational journey. His engaging teaching style encourages dynamic dialogue on navigating and succeeding in workforce culture, drawing from his 20-year career as a corporate executive, entrepreneur, management consultant, and executive coach. Additionally, Professor Odom's commitment to service is reflected in his 10 years of active duty in the United States Navy, including deployment during Operation Desert Storm.

Gary Young

Gary Young is the Director of the Northeastern University Center for Health Policy and Healthcare Research and a Professor of Strategic Management and Healthcare Systems at the D’Amore-McKim School of Business. Prior to his role at Northeastern, Dr. Young served as chairman of the Department of Health Policy and Management at Boston University School of Public Health. His extensive background includes positions as a healthcare attorney and analyst for the federal government and a national healthcare consulting firm. Dr. Young's research primarily addresses organizational, managerial, and legal challenges in healthcare service delivery, and his work has been published in prominent journals such as the New England Journal of Medicine, Journal of the American Medical Association, Health Affairs, and more. In recognition of his contributions to the field, he received the John D. Thompson Prize in Health Services Research from the Association of University Programs in Health Administration (AUPHA) in 1998 and an Investigator Award in Health Policy Research from The Robert Wood Johnson Foundation for his research on pay-for-performance in the U.S. healthcare system. In 2012, he was appointed by the U.S. Secretary of the Treasury to the IRS Advisory Committee on Tax Exempt and Government Entities, which advises IRS officials on policy and procedural matters. Dr. Young holds a law degree and a Ph.D. in Management from the State University of New York.

George “Russ” Moran

Russ Moran is an Executive Adjunct Professor at Northeastern University’s D’Amore-McKim School of Business and Bouvé College of Health Sciences, bringing over 30 years of healthcare industry expertise in leadership, provider network contracting, service operations, and innovation. He has taught at Northeastern since 2006, contributing to the MS in Innovation and MBA programs with courses in Service Innovation, U.S. Healthcare Reform, and Enterprise Growth. Moran also teaches Strategic Management in Healthcare at Bouvé and serves on advisory boards for Northeastern’s Center for Health Policy and Healthcare Research and Health Management MBA. His corporate education work includes collaborations with IBM, EMC, and Blue Cross Blue Shield, while he also leads healthcare innovation initiatives with Coursera. Moran's professional background includes roles as EVP at Private Healthcare Systems and Tufts Health Plan, where he oversaw operations, IT, and Medicare Advantage products. He is a principal advisor for Decision Point Health Solutions and sits on the Board of Advisors for Day Health Strategies. Moran holds degrees from St. Anselm College and the University of New Hampshire.

Gilbert Nyaga

Gilbert N. Nyaga is an Associate Professor of Supply Chain Management at Northeastern University’s D’Amore-McKim School of Business and a faculty associate at the Center for Health Policy and Healthcare Research. He holds a PhD in Business Administration from Michigan State University and serves as the Curriculum Coordinator for the Supply Chain Management and Information Group. His research focuses on supply chain collaboration, logistics strategy, and healthcare supply chains, particularly the integration of supply chain strategies to improve clinical and operational performance. Dr. Nyaga's work has been widely published in top journals and presented at industry conferences, earning him accolades such as the Harold E. Fearon Best Paper Award. He also holds editorial board positions at the Journal of Business Logistics and International Journal of Physical Distribution and Logistics Management. In addition to his academic roles, Dr. Nyaga actively contributes to the Council of Supply Chain Management Professionals.

Laura Huang

Laura Huang is a Distinguished Professor of Management and Organizational Dynamics and the best-selling author of EDGE: Turning Adversity into Advantage. With previous faculty positions at Harvard Business School and the Wharton School, she now serves on the boards of Wharton Alumni Angels and NJECC. Her award-winning research focuses on interpersonal relationships and implicit bias in entrepreneurship and the workplace. Widely recognized for her insights, Laura’s work has been featured in prominent publications like The New York Times, The Wall Street Journal, and Forbes. She has been named one of the 40 Best Business School Professors by Poets & Quants and is listed on the Thinkers 50 Radar as a leading global management thinker.

Marc H Meyer

Marc H. Meyer is the Robert J. Shillman Professor of Entrepreneurship and Matthews Distinguished Professor at Northeastern University, where he founded the Entrepreneurship and Innovation Group in the D’Amore-McKim College of Business. Under his leadership, Northeastern's program achieved top national rankings, and the Center for Entrepreneurship Education, which he directs, has helped launch nearly 100 companies, raising over $750M in venture capital. An internationally recognized scholar in innovation, Meyer has authored seminal works on product platforms and corporate growth, and his books and research have influenced managers and organizations worldwide. He also leads initiatives such as the NSF I-Corps Site program, helping engineers commercialize lab technologies. Meyer's impact extends to mentoring in South Korea, serving as a Master Mentor for the national Mentoring Association. As an entrepreneur and innovation consultant, he has co-founded multiple ventures and advised major companies like IBM, HP, and P&G. He holds degrees from Harvard and MIT and has held visiting professorships globally.

Marla Baskerville

Baskerville has a diverse background in consulting and marketing, having worked with prominent organizations such as NASA, The Legal Sales and Service Organization (LSSO), and Springboard-Partners. She also held the position of marketing manager at ClubMom, Incorporated. Before joining Northeastern University's D'Amore-McKim School of Business, Baskerville taught undergraduate business courses at Tulane University, demonstrating her expertise in both academia and industry.

Rina Vertes

Rina Vertes, FSA, MAAA, brings nearly 30 years of experience in health insurance and healthcare strategy, working with insurance companies, providers, and healthcare vendors. As the former Chief Actuary of BCBSMA, she played a pivotal role in Massachusetts healthcare reform, co-leading the development of the Alternative Quality Contract, a model that laid the foundation for today's ACOs. She also served on the 2006 Special Commission to study insurance markets. Most recently, she was CFO of Minuteman Health, overseeing its launch in MA and NH. Currently, as President of Marjos Business Consulting, LLC, Vertes advises clients on managing risk and responding to CMS and private sector payment reforms, including ACOs and bundled payments. She also serves on the board of the Massachusetts Health Connector, appointed by Governor Charlie Baker.

Shannon Pettiford

Shannon Pettiford, M.S., PMP, PMI-ACP, is a seasoned expert in program and project management, with a career spanning decades in digital marketing, IT, HR, finance, and strategic initiatives. With a focus on business process improvement and operations management, he has successfully led global programs in Fortune 500 companies. Shannon teaches graduate-level project management courses at Harvard Extension School, Northeastern University, and the University of Kansas. Certified as a PMP, Agile Certified Practitioner, and Scrum Master, he holds a computer science degree from East Tennessee State University and a master’s in project management from Northeastern. His current role as Senior IT Program Manager at a global consulting firm involves M&A, office expansions, and global business strategies, where he drives organizational improvements and cost reductions.

Teodoro (Teo) Forcht Dagi

Teodoro (Teo) Forcht Dagi serves as the Vice-Chair of Education and Professor of Neurosurgery at the Mayo School of Medicine and Science. He is a highly trained neurosurgeon with experience at Massachusetts General Hospital and in London. Dr. Dagi’s diverse background includes legal and ethical training as the Joseph P. Kennedy, Jr. Fellow at Harvard and as a Senior Research Fellow at Georgetown University's Kennedy Institute of Ethics. He has lectured globally at law and medical schools and previously served as a law professor at Georgetown Law Center. His recent efforts involve reconciling medical laws in former Soviet Union countries with EU regulations in collaboration with the Council of Europe. Before joining Mayo, Dr. Dagi was the chairman of a medical school in Belfast, where he played a vital role in its reconstruction following the Troubles. Actively engaged in numerous professional organizations, he sits on the surgical specialty board of neurosurgery in the UK with the Royal College of Surgeons of Edinburgh. Dr. Dagi emphasizes the importance of medical ethics in healthcare leadership and management within health institutions and NGOs.

Vishal Chawla

Vishal Chawla is an esteemed Group Leader/Director at MIT, bringing over 23 years of professional experience in technology. He earned his Master's in Information Technology from Northeastern University, where he developed expertise in Web Design, Development, User Experience, Application Development, Quality Assurance, Web Services, Database Management, and Open Source Development. Currently, Chawla teaches courses in Web Design, User Experience Engineering, and User Experience Design and Testing at Northeastern University. Recognized as an industry expert, he has held various leadership positions and significantly contributed to the development of innovative solutions and products. Chawla's passion for teaching is evident in his interactive approach, fostering skill development and career success among his students. A lifelong learner, he believes in continuous self-improvement and adaptation to change, inspiring others to do the same.

Woodrow Hartzog

Woodrow Hartzog serves as a Professor of Law and Computer Science at Northeastern University School of Law and the Khoury College of Computer Sciences. He holds positions as a Resident Fellow at the Center for Law, Innovation and Creativity (CLIC) at Northeastern University, a Faculty Associate at Harvard University's Berkman Klein Center for Internet & Society, a Non-resident Fellow at The Cordell Institute for Policy in Medicine & Law at Washington University, and an Affiliate Scholar at Stanford Law School's Center for Internet and Society. His extensive research on privacy, media, and robotics has appeared in prestigious scholarly journals like the Yale Law Journal, Columbia Law Review, and California Law Review, as well as in notable popular outlets such as The New York Times, The Washington Post, and The Guardian. Hartzog has testified before Congress on multiple occasions and has been cited by various media outlets, including NPR, BBC, and The Wall Street Journal. He is also the author of "Privacy’s Blueprint: The Battle to Control the Design of New Technologies," published by Harvard University Press in 2018.

Sri Radhakrishnan

Srinivasan Radhakrishnan is an Associate Teaching Professor in the Department of Mechanical and Industrial Engineering at Northeastern University. He is known for his significant contributions to the field, which earned him the Faculty Research Team Award in 2024. His research interests encompass data analytics, artificial intelligence, and operations research, showcasing his dedication to advancing knowledge and practice in these critical areas.

Sarah Woodside

Sarah Woodside serves as an Associate Teaching Professor in Management and Organizational Development Education. She holds a PhD in Sociology from Boston College, with expertise in social entrepreneurship and negotiation. Her academic work emphasizes the intersection of management practices and social impact, equipping students with the skills necessary for effective leadership and organizational development.

Career services

Northeastern University offers comprehensive career services aimed at preparing students for successful careers post-graduation. The university's cooperative education program plays a pivotal role in this effort by allowing students to gain hands-on experience in their fields while still enrolled in their academic programs. This unique model not only enhances students' resumes but also helps them build professional networks that can be invaluable when seeking employment after graduation. The Career Design team at Northeastern provides personalized support through workshops, one-on-one counseling sessions, and access to job fairs featuring top employers across various industries. Students are encouraged to engage with alumni networks that facilitate mentorship opportunities and job placements. The university also partners with numerous organizations to provide internships that align with students' career goals. Additionally, Northeastern maintains a robust online platform where students can access job listings, career resources, and tools for resume building and interview preparation. The focus on experiential learning ensures that students are not only academically prepared but also equipped with practical skills that employers value.

93%

Placement Rate

$75,000

Average Salary After Graduation

1,200

Number of Partnerships with Recruiters

₹ 61,90,000

Course Start Date: 10th Nov, 2026

Application Deadline: 10th Nov, 2026

Duration: 23 Months

Frequently asked Questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.

What is the scope of the MPS in Applied Machine Intelligence program?

The MPS in Applied Machine Intelligence is an engaging yet rigorous 8 months online(with IIIT-Bangalore) and 15-months on-campus(Northeastern University, U.S.A.) program designed for students to develop practical knowledge and skills, establish a professional network, and accelerate entry into the field of management, informatics and information technology. The student as part of this program will receive dual certification - an Advanced Certificate Program in Data Science from IIIT Bangalore and a Master's degree in MPS in Applied Machine Intelligence from Northeastern University U.S.A.

What should I expect from MPS in Applied Machine Intelligence?

The MPS in Applied Machine Intelligence program at Northeastern University offers a comprehensive AI education to meet the growing demand for skilled professionals in this field. With experiential AI curricula covering various domains, a multidisciplinary problem-solving approach, and a focus on in-demand skills, the program equips students with the knowledge and practical experience needed to navigate the dynamic AI landscape. Taught by renowned faculty members, the curriculum emphasizes critical data management and analysis skills and prepares students for diverse career opportunities in industries such as finance, HR, healthcare/pharmaceuticals, and business ventures. Graduates showcase their expertise through a portfolio of work samples, demonstrating their proficiency in machine learning and AI. On completion of the program, you will have the option to apply for OPT in the U.S.A. as well as get support from Northeastern University Career Services to build a career in the U.S.A.

Which topics are going to be covered as part of the online coursework?

The program is designed for professionals with limited data analytics experience to help them build their understanding from the basics to an advanced level. The program covers tools such as Python, MySQL and Excel, as well as important Data Science concepts such as statistics and exploratory data analytics, regression, clustering, tree models, model selection, principal component analysis, machine learning & artificial intelligence, Aligned Mathematical Theory, applications, signal processing and many more.

What is a co-op program at Northeastern University?

Co-op programs at Northeastern University are academic programs that combine classroom learning with practical work experience in a professional setting. Students have the opportunity to gain real-world skills, industry connections, and enhance their resumes through immersive full-time work opportunities. Northeastern is a global leader in co-op education, consistently ranked as the #1 co-op program in the nation.