Find answers to common admissions questions below. If you need further assistance, our team is here to help.
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Email: recruitment@cmkl.ac.th
Admissions Department
Email: admissions@cmkl.ac.th
Phone: 061 394 0500, 065 878 5000, LINE: @cmkluniversity
It’s Thailand’s first integrated bachelor’s degree in AI and computer engineering.
Offers an accelerated 3-year study plan for eligible students.
Uses a competency-based learning model. Emphasizes hands-on, real-world research from the first year. Includes international experiences, internships, and industry collaborations. Features an interdisciplinary curriculum across AI, software, systems, design, and more. Strong ties with industry through hackathons, awards, and partner projects.
At our institution, we welcome students from all educational backgrounds. GED holders are encouraged to apply — every student is welcome here!
Yes, we do offer credit transfers.
Students who have completed relevant university-level or advanced high school coursework may be eligible to transfer credits upon evaluation. To check what courses can do credits transfer, please check this website.
Our academic team will review transcripts and course content to determine transferability. This process helps qualified students accelerate their path toward graduation.
CMKL University is a collaborative institution established through a partnership between Carnegie Mellon University (CMU) and King Mongkut’s Institute of Technology Ladkrabang (KMITL). This collaboration aims to provide advanced education and research opportunities in engineering and technology within Thailand and Southeast Asia.
We offer an opportunity through our XP Program, which allows students to participate in internships or exchange programs with reputable institutions and leading companies.
Selection for the XP Program is competitive and based on each student’s qualifications and performance. It is designed to provide real-world experience and global exposure as part of our commitment to hands-on, practical learning.
Our program is designed with flexibility and acceleration options that allow students to graduate within 3 to 4 years.
By transferring eligible credits and maintaining strong academic performance, students can fast-track their studies without compromising on educational quality. Academic advisors work closely with each student to personalize their study plan for efficient progression.
We offer three payment plans to provide flexibility for students and families:
" Please note that tuition fees are subject to a 3–5% annual increase. Choosing the Annual or Program Plan can help you manage costs more effectively over time" nulla, ut commodo diam libero vitae erat. Aenean faucibus nibh et justo cursus id rutrum lorem imperdiet. Nunc ut sem vitae risus tristique posuere.
Yes, the deposit is credited toward your total tuition fee and will be deducted from your first payment.
It serves as confirmation of your enrollment and secures your place in the program.
The B.Eng. in Artificial Intelligence & Computer Engineering will be awarded as a Bachelor of Engineering in Artificial Intelligence and Computer Engineering from CMKL University.
No, students do not need to attend classes at KMITL.
All courses for CMKL programs are conducted at CMKL University’s campus, which is located within the KMITL campus area but operates independently with its own facilities, faculty, and curriculum.
This program offers a unique 4-year track, where students receive a comprehensive education combining theory with hands-on experience.
In their final year, students must complete a Capstone Project that integrates everything they have learned, allowing them to apply their skills in solving real-world problems. Upon successful completion, students will be awarded two degrees:
- Bachelor of Engineering in Computer Innovation Engineering (CIE) from KMITL.
- Bachelor of Engineering in Artificial Intelligence and Computer Engineering (AiCE) from CMKL University.
Yes, if you choose to pursue the dual degree program, you will be required to study for four years in order to meet the academic standards and graduation requirements set by KMITL.
You can apply for the Dual Degree Program in B.Eng. in AiCE through the CMKL University Admissions Portal, just like the standard AiCE program.
You can make your payment directly to CMKL University.
There is no additional charge to apply for the Dual Degree Program.
Yes, you may request to switch to the single degree track after enrollment; however, this is subject to academic review and approval by both university (CMKL and KMITL).
Please consult with your academic advisor or program coordinator for guidance on the process and any implications on your study plan.
Yes, students enrolled in the Dual Degree Program have the same academic rights and privileges as regular KMITL students.
This includes access to campus facilities, student services, and participation in university activities.
The primary distinction between the AiCE Single Degree Program and the Dual Degree Program lies in the number of degrees awarded and the institutions involved:
AiCE Single Degree Program: Students will earn a degree from CMKL University upon successful completion of the program. They have the option to complete their degree in either 3 or 4 years, depending on their academic progress and personal preferences.
AiCE Dual Degree Program: Students will earn two degrees—one from CMKL University and another from KMITL, benefiting from the academic resources and opportunities of both institutions.
The Dual Bachelor's Degree Program (AiCE x CIE) will be awarded two degrees: a Bachelor of Engineering in Artificial Intelligence and Computer Engineering from CMKL University and a Bachelor of Engineering in Computer Innovation Engineering from King Mongkut's Institute of Technology Ladkrabang.
The B.A.S. in Artificial Intelligence Innovation (Aii) is Thailand's first AI Launchpad degree — a 3-year, accelerated undergraduate program where students learn by building real AI products from day one. Rather than saving projects for the final year, students form venture teams early and ship working products to real users throughout the program. The degree is structured around three phases: Build (Year 1), Launch (Year 2), and Scale (Year 3).
AiCE (Artificial Intelligence and Computer Engineering) is an engineering degree with deep roots in systems, hardware, software, and technical research. Aii takes a different angle: it focuses on building AI-powered products and ventures, combining AI engineering with product thinking, business strategy, user research, and design. If you want to become a founder, product leader, or creative technologist, Aii is built for that path.
No prior coding or engineering experience is required. Aii welcomes students from all backgrounds — whether you're tech-savvy or come from a creative, business, or non-traditional background. The program provides the resources and support to help every student succeed in AI innovation.
Both options are available. The Team Builder Track lets you apply with a group of up to five people, with defined roles such as founder, tech lead, finance, and creative. The Solo-preneur Track lets you apply as an individual; solo applicants may be matched with a team or form one after admission. Either way, you submit materials that reflect your initiative and ideas.
Applicants need a high school diploma or GED equivalent, along with evidence of English proficiency (Duolingo English Test 105+, TOEFL iBT 70+, or IELTS 6.0+). A video introduction is required. Optional materials include a statement of purpose, pitch deck, portfolio, recommendation letters, and SAT/ACT scores.
To graduate, students must complete 360 academic units and earn a Launch Certification. That means demonstrating a shipped AI product with active users, verified by analytics and a live deployed URL. This standard transforms graduation from a transcript milestone into a proof of real-world impact.
Graduates are equipped to pursue roles across several areas: AI product management and venture building (AI PM, founder, growth strategist), AI and creative design (UX designer, creative technologist, brand storyteller), and business transformation (AI consulting, corporate ventures, partner projects). The program is intentionally broad so students can specialize based on their strengths.
For Academic Year 2026, tuition is 190,000 Baht per semester (380,000 Baht per year), with a 3-year total of 1,140,000 Baht. Scholarships are available at several levels — from a half-scholarship Builder Grant to a full Named Scholarship covering a student's entire 3-year journey. For current details on financial aid and how to apply, visit cmkl.ac.th/students/financial-aid.
In Years 2 and 3, students choose one of three specialization tracks based on where they want their work to have impact:
• Business and Tech Innovation — for students building commercially viable AI ventures.
• Social Impact — for those applying AI toward meaningful community and societal challenges.
• Creative Technology — for students who care as much about human experience and design as the technology itself.
Aii works best for students who want a degree that produces a portfolio, not just a transcript. Three profiles tend to do especially well: the Venture Builder, who spots real problems and moves fast to test solutions; the AI Product Leader, who brings structure and clarity to a team and measures everything by user behavior; and the Creative Technologist, who combines imagination with AI to build experiences that feel genuinely human. You do not need to arrive as an expert in any of these areas — you need to arrive ready to learn by doing, take feedback seriously, and keep iterating.
Graduates earn a Bachelor of Arts and Science in Artificial Intelligence Innovation from CMKL University.
In the M.S. in Electrical and Computer Engineering (ECE) Dual Degree Program, students will spend:
1 year in Thailand: Students will complete coursework and initial research at CMKL University.
1 year in Pittsburgh, USA: Students will continue their studies and research at a partner university in Pittsburgh, providing an opportunity for international exposure and collaboration.
This 2-year program allows students to earn two degrees—one from CMKL University and one from the partner university in Pittsburgh.
To apply for the M.S. in Electrical and Computer Engineering (ECE) Dual Degree Program, applicants must apply through Carnegie Mellon University as the partner institution. Please follow these steps:
1. Visit the Carnegie Mellon University Application Portal: Access the official application portal for the M.S. program at Carnegie Mellon University.
2. Complete the Application Form: Fill out the application form with your personal, academic, and program-specific information.
3. Wait for Admission Decision: After your application is reviewed, you will receive the admission decision from Carnegie Mellon University.
For more detailed information, please refer to the official application page for the M.S. in Electrical and Computer Engineering at Carnegie Mellon University.
Research Assistantships (RAs): Many M.S. students are supported through research assistantships. These roles provide a stipend and may include partial or full tuition coverage in exchange for conducting research under faculty supervision.
Teaching Assistantships (TAs): Qualified M.S. students may also be offered teaching assistant positions, which involve assisting in undergraduate or graduate courses. These roles typically offer a stipend and may contribute to tuition coverage.
Fellowships CMU’s College of Engineering offers a limited number of merit-based fellowships for outstanding M.S. applicants. These fellowships may cover full tuition and include a living stipend.
External Fellowships: Students are encouraged to seek external funding opportunities through organizations such as the National Science Foundation (NSF), U.S. Department of Energy, and other academic and industry groups.
Additional Financial Aid: CMU’s Enrollment Services Office provides information on other financial support options, including loans, payment plans, and financial counseling.
For further information, please check out this Carnegie Mellon Engineering.
M.S. in ECE students typically have one academic advisor who supports them with course planning and graduation requirements.
If a student participates in research, they may also work with a separate research advisor or faculty supervisor for their project.
Yes, several of our faculty members at CMKL University have earned their degrees—including master’s and Ph.D.—from Carnegie Mellon University.
Their strong academic and research backgrounds help ensure that our programs are closely aligned with CMU’s standards of excellence.
Yes, it is possible for your project to continue at Carnegie Mellon University (CMU) after starting at CMKL University.
Depending on the nature of your project and the program you are enrolled in, you may have the opportunity to collaborate with CMU faculty and resources to further develop your work.
Please consult with your advisor at CMKL University for more specific guidance on project continuity.
The AiCE (Artificial Intelligence and Computer Engineering) program focuses specifically on the intersection of AI, machine learning, and computer engineering. It covers advanced topics in AI algorithms, data science, robotics, and computational systems. Students in AiCE programs are trained to work on developing and optimizing intelligent systems.
In contrast, the ECE (Electrical and Computer Engineering) program offers a broader foundation in electrical engineering, computer science, and computational systems. ECE students focus on areas such as hardware design, signal processing, communications, embedded systems, and control systems. While ECE also includes some elements of AI, its scope is broader, encompassing both the hardware and software aspects of computing.
If a student selects "Thailand" as their primary location, they will receive two offer letters: one from Carnegie Mellon University and one from CMKL University.
M.S. in Electrical & Computer Engineering will be awarded two degrees: a Master of Science in Electrical and Computer Engineering from Carnegie Mellon University and CMKL University.
In the Ph.D. program in Electrical and Computer Engineering (ECE), students typically spend:
2 years in Thailand: During this time, students will complete their coursework, engage in research, and begin their dissertation work at CMKL University.
3 years in Pittsburgh, USA: Students will conduct advanced research, collaborate with faculty, and finalize their dissertation at a partner university in Pittsburgh.
This flexible 5-year program provides students with the opportunity to gain a comprehensive academic and research experience at both Thai and U.S. institutions. However, Ph.D. students may take longer than 5 years to complete their degree, depending on their research progress and individual academic path.
To apply for the Ph.D. in Electrical and Computer Engineering (ECE) Dual Degree Program, applicants must apply through Carnegie Mellon University as the partner institution. Please follow these steps:
1. Visit the Carnegie Mellon University Application Portal: Access the official application portal for the Ph.D. program at Carnegie Mellon University.
2. Complete the Application Form: Fill out the application form with your personal, academic, and program-specific information.
3. Attend an Interview: If shortlisted, you may be invited for an interview with faculty members to discuss your academic background and motivation for the program.
4. Wait for Admission Decision: After your application is reviewed, you will receive the admission decision from Carnegie Mellon University.
For more detailed information, please refer to the official application page for the Ph.D. in Electrical and Computer Engineering at Carnegie Mellon University.
Research and Teaching Assistantships (RAs/TAs): Most Ph.D. students receive funding through research assistantships or teaching assistantships. These positions offer a stipend and often include full or partial tuition coverage in exchange for conducting research or assisting in teaching under faculty supervision.
Fellowships: CMU offers various merit-based fellowships for Ph.D. students in the College of Engineering. These fellowships may cover full tuition and provide a stipend for living expenses.
External Fellowships: Students are encouraged to apply for external fellowships from organizations such as the National Science Foundation (NSF), the U.S. Department of Energy, and other academic and research bodies.
Additional Financial Aid: CMU's Enrollment Services Office provides comprehensive information on financial aid for graduate students, including loan options and payment plans.
All applicants to the Ph.D. program are automatically considered for financial aid; no separate application is required. Financial aid is awarded based on departmental resources and available openings.
For further information, please check out this Carnegie Mellon Engineering.
The typical duration for completing a Ph.D. in Electrical and Computer Engineering (ECE) is 5 years.
However, the timeline may vary depending on factors such as the nature of the research, dissertation progress, and individual academic milestones.
Some students may take longer to complete their degree, particularly if their research is highly specialized or involves extensive experimentation and collaboration.
The Ph.D. program in Electrical and Computer Engineering (ECE) typically involves a tuition fee structure that is not based on individual credits. Instead, students pay a set tuition fee for the entire program, which may be divided into payments per semester or year. The exact payment structure and fees can vary, and students may have opportunities for financial support through fellowships, research assistantships, or teaching assistantships.
For more detailed information on tuition fees, payment options, and potential financial aid, please refer to the official admissions and financial aid guidelines.
Yes, the Ph.D. program in Electrical and Computer Engineering (ECE) accepts students with an undergraduate degree. Applicants are typically expected to have a strong academic background in engineering, computer science, or related fields.
In some cases, students with an undergraduate degree may need to complete additional coursework before progressing to doctoral research, depending on their prior academic preparation.
For detailed admission requirements, please refer to the Ph.D. program's official admission guidelines.
Ph.D. in Electrical & Computer Engineering will be awarded two degrees: a Doctor Philosophy in Electrical and Computer Engineering from Carnegie Mellon University and CMKL University.
The M.S. AiCE (Master of Science in Artificial Intelligence and Computer Engineering) program at CMKL University is a graduate-level program designed to equip students with advanced knowledge and skills in AI, machine learning, and computer engineering.
The program covers a wide range of topics, including AI algorithms, data science, robotics, computational systems, and their applications in real-world problems.
Students in the M.S. AiCE program will have the opportunity to engage in hands-on projects, research, and coursework that prepare them for careers in cutting-edge industries such as AI development, data analytics, and robotics. The program is structured to provide a solid foundation in both theoretical and practical aspects of AI and computer engineering.
Professional Track: This track is designed for students who wish to gain practical, industry-oriented skills in AI and computer engineering. It focuses on hands-on experience, preparing students for roles in the tech industry and other related fields.
Professional Track: Duration: 1.5 years (3 semesters)
Focus: Industry-oriented coursework and practical skills
60 units of AiCE core courses
24 units of core, elective, or R&D courses
12 units of Research, Entrepreneurship, and Innovation (REI)
Total Units: 96 units
Thesis Track: The thesis track is designed for students who are interested in academic research or pursuing a Ph.D. It involves a deeper focus on theoretical knowledge, research methodologies, and the completion of a thesis project under the guidance of a faculty advisor.Both tracks provide students with a comprehensive understanding of AI and computer engineering, but the choice between them depends on whether the student prefers a research-focused path or a professional, industry-oriented path.
Thesis Track: Duration: 1.5 years (3 semesters)
Focus: Research-intensive study culminating in a thesis
24 units of AiCE core courses
12 units of core, elective, or R&D courses
48 units of thesis-based R&D
12 units of Research, Entrepreneurship, and Innovation (REI)
Total Units: 96 units
Yes, CMKL University offers various financial aid opportunities for students in the M.S. in Artificial Intelligence and Computer Engineering (AiCE) program. These include:
Research Assistantships: These positions provide students with stipends and may include partial or full tuition coverage in exchange for conducting research under faculty supervision.
Merit-Based Scholarships: Offered based on academic performance, extracurricular activities, and leadership potential. Specific details and application procedures can be found on the university's financial aid page.
For more information on available scholarships and the application process.
To graduate from the M.S. in Artificial Intelligence and Computer Engineering (AiCE) program at CMKL University, students must meet the following requirements:
1. Completion of Coursework: Students must successfully complete all required courses as outlined in their chosen track (Professional or Thesis). The exact number of credits required may vary depending on the track.
2. Minimum GPA: A minimum cumulative GPA, typically 3.0 or higher, must be maintained throughout the program.
3. Thesis or Capstone Project (for Thesis Track): If enrolled in the Thesis Track, students must complete and successfully defend a thesis under faculty supervision. The thesis must meet the academic standards of CMKL University and demonstrate significant research contributions in the field.
4. Comprehensive Examination (if applicable): Some students may be required to complete a comprehensive examination to test their understanding of core concepts in the program.
5. Final Approval: Graduation requires final approval from the academic advisor and the department, ensuring that all academic and program requirements have been met.
Students are also encouraged to consult the program handbook for additional graduation requirements and specific deadlines.
M.S. in Artificial Intelligence & Computer Engineering program will be awarded a Master of Science in Artificial Intelligence and Computer Engineering from CMKL University.
The Ph.D. in AiCE at CMKL University is a research-focused doctoral program designed to develop advanced expertise in artificial intelligence and computer engineering. Students engage in groundbreaking research, contribute to academic publications, and collaborate with international and industry partners.
Students may pursue research in various AI and computer engineering fields, including: Machine Learning and Deep Learning, Natural Language Processing, Computer Vision, Robotics and Autonomous Systems, AI for Healthcare and Sustainability, Cybersecurity and Data Science.
The program typically takes 4 to 5 years to complete. However, the actual duration may vary depending on each student’s research progress and dissertation timeline.
To graduate from the Ph.D. in Artificial Intelligence and Computer Engineering (AiCE) program at CMKL University, students must:
1. Complete all required coursework with satisfactory academic performance
2. Pass the Ph.D. qualifying examination
3. Successfully propose a research topic and defend the research proposal
4. Conduct original, high-impact research under faculty supervision
5. Publish in peer-reviewed academic conferences or journals (as required by the program)
6. Submit and successfully defend a doctoral dissertation
The entire process is designed to ensure that students are fully prepared to contribute meaningfully to academic and industry advancements in AI and computer engineering.
We require a minimumTo graduate from the Ph.D. in Artificial Intelligence and Computer Engineering (AiCE) program at CMKL University.
Students are required to complete at least 72 units (credits), which typically include:
- Core and elective coursework
- Research credits
- Dissertation credits
The exact distribution may vary depending on the student's academic background and research track, and students work closely with their academic advisor to design an appropriate study plan.
Ph.D. in Artificial Intelligence & Computer Engineering program will be awarded a Doctor Philosophy in Artificial Intelligence and Computer Engineering from CMKL University.
The Integrated Master and Bachelor Degree Program (IMB) is a special academic track that allows outstanding undergraduate students to earn both a Bachelor’s and a Master’s degree in a shortened timeframe—typically 5 years instead of the usual 6+ years when pursued separately.
At CMKL University, the IMB program is designed for high-achieving students in the B.Eng. in AiCE program who wish to transition directly into the M.S. in AiCE program.
Students begin taking graduate-level courses during their final undergraduate year and formally enter the master's program upon completion of the bachelor's degree.T
his program is ideal for students seeking to accelerate their education and deepen their expertise in artificial intelligence and computer engineering.
Undergraduate students in the B.Eng. in AiCE program at CMKL University with a strong academic record and research interest are eligible to apply. Typically, students apply during their 3rd year of study.
Students can apply near the end of their 3rd year (or after completing approximately 90 credits), before entering their final year of the bachelor's program.
The IMB program allows students to take graduate-level courses while completing their undergraduate degree, enabling them to finish both degrees in a reduced timeframe (typically 5 years).
In contrast, standalone M.S. programs require reapplication and separate enrollment after graduation.
Yes. IMB students are eligible to apply for scholarships and assistantships during their graduate-level studies, just like regular M.S. students.
During the undergraduate portion, standard tuition applies. Once students transition into the M.S. portion, graduate tuition and fee structures apply. Some overlap courses may be counted toward both degrees without additional tuition.
Regarding tuition, please contact finance department at finance@cmkl.ac.th.
Yes. Students can choose to complete only the bachelor’s portion if they decide not to continue to the master’s level. However, they must notify the academic office before the transition.
IMB students may have early access to research labs, faculty mentorship, and graduate-level projects, giving them an advantage in building research experience.
Yes. The Integrated Master and Bachelor Degree (IMB) program is open to students from other universities who have completed at least 3 years of undergraduate study (typically 90 credits or more) in a relevant field. Qualified students can apply to transition into the M.S. in AiCE program while completing their final year of undergraduate studies.
M.S. in Artificial Intelligence & Computer Engineering program will be awarded a Master of Science in Artificial Intelligence and Computer Engineering from CMKL University, along with an additional degree from your host institution.
The M.S. in AI Innovation (Aii) is a graduate program designed to turn professionals and recent graduates into Intelligence Orchestrators — people who can bridge the gap between AI's technical potential and real business strategy. The program covers agentic AI systems, product development, go-to-market thinking, AI ethics, data governance, and venture creation. Students complete 96 credits and graduate ready to lead AI transformation in companies or launch their own ventures.
Three flexible study tracks are available depending on your pace and commitments. The Accelerated Track takes 1 year (2 semesters) and is ideal for full-time students or those with credit transfers. The Regular Track takes approximately 1.5 years (3 semesters) and suits students who want a strong pace with room for exploration. The Paced Track spans 2 years (4 semesters) and is designed for working professionals who need a more manageable workload per term.
All three tracks require 96 credits to graduate. The Accelerated Track (2 semesters) runs at 48 units per semester — intensive but fast. The Regular Track (3 semesters) starts with heavier coursework and shifts toward the Aii project in the final semester. The Paced Track (4 semesters) spreads the load evenly at 24 units per semester, making it the most accessible option for people balancing work or other responsibilities.
Yes, the AI Innovation Project (CMKL 42-900, 12 units) is mandatory for all study tracks. It is a practicum-based capstone where students transition from learner to practitioner. The focus is on the business of AI — teams develop a comprehensive pitch covering technical architecture, go-to-market strategy, and financial projections, with instructors serving as business mentors. It is required in the last two semesters before graduation.
The 36-unit core curriculum is organized across three pillars. Pillar 1 (AI Core) covers technical foundations including Agentic AI, AI Dev Lifecycle, and Scalable Architectures. Pillar 2 (Models and Data) focuses on AI Security, Privacy, and Data Modeling. Pillar 3 (Business) covers AI Venture Development, Innovation Solving, AI Marketing, and IP and Regulations. Students then choose from 48 units of electives to build deeper expertise — including the option to take AiCE engineering courses.
Applicants must hold a bachelor's degree in any field of study. Required materials include official transcripts, a video interview, an English proficiency score (DET 105+, TOEFL iBT 70+, or IELTS 6.0+), and a statement of purpose. Recommendation letters, a resume or portfolio, GRE scores, and computer science proficiency documentation are all optional.
Yes. The Professional Training Pathway (PTP) is designed for individuals who have completed accredited CMKL professional training courses. Eligible training credits can be transferred toward the graduate degree (up to 24 units), and PTP students can enter the Accelerated Track, allowing them to complete the M.S. in as little as one year.
Yes. The Integrated Master and Bachelor (IMB) pathway is open to high-performing B.A.S. in Aii students with a QPA of 3.0 or above. Third-year students can begin M.S. coursework while still completing their undergraduate degree and finish the master's concurrently or immediately after graduation — compressing what would typically take six or more years into five.
No. The M.S. in Aii accepts students from any undergraduate field of study. Computer science proficiency is listed as an optional supporting document, not a requirement. The program is built for professionals and graduates who want to lead AI strategy, build AI products, and drive business transformation. Students who want to strengthen their technical foundation can take AiCE engineering courses as electives within their 48 units of elective credits.
Yes, scholarship opportunities are available. Students are encouraged to visit cmkl.ac.th/students/financial-aid for current details on eligibility and the application process. Additionally, students who apply through the Professional Training Pathway (PTP) can transfer up to 24 units of eligible CMKL training credits, which directly reduces the total cost and time to complete the degree.
Graduates leave the program as Intelligence Orchestrators — professionals who can connect AI's technical capabilities to real business decisions and outcomes. In practice, that means being able to deploy agentic AI systems, design go-to-market strategies for AI products, evaluate AI ethics and IP risks, and pitch a complete venture with financial projections. The Capstone project is where this all comes together: every graduate presents a comprehensive pitch covering technical architecture, business strategy, and market application, evaluated by instructors who serve as business mentors throughout the process.
Graduates earn a Master of Science in AI Innovation from CMKL University.
