Madan Bhandari University of Science and Technology (MBUST) was established through the promulgation of the Madan Bhandari University of Science and Technology Act, 2079 (2022 AD) on August 3, 2022. This Act grants extensive autonomy to the University creating an enabling environment for developing MBUST into a world-class research-oriented university. MBUST holds the promise of making a direct contribution to the economic development of the country through the creation of new knowledge and technology, which should enhance the competitiveness of the country's economy.

The MBUST vision is to be a world-class university and the mission is to build prosperous and just Nepal. MBUST is committed to provide world-class education by attracting talented and committed students and academic staff, and providing a conducive environment for research and development activities focused at solving real-life problems of the industry using the state-of-the- art knowledge and technology.

Academic Programs
The teaching and research activities of the University will be guided by the real-life problems of the industry. Teaching and research programs of the University will be delivered through the Institutes engaged in research related to specific economic sectors. The students will pursue their study in close collaboration with related industries and are expected to develop a new technology for collaborating industrial partners. This approach is designed to produce graduates who are "job creators" rather than "job seekers".

Academic programs to be offered in May 2024 session are Master of Applied Science in:   
1. Artificial Intelligence
2. Data Science

Intake, Fees and Scholarships
1. Master of Applied Science in Artificial Intelligence
- Total intake: Up to 16
- Tuition fee waiver and scholarships: For up to 4
- Tuition fee waiver: For up to additional 4
- Fee paying: Up to 8
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Artificial intelligence (AI) has become an important part of our society. It has created opportunities to transform existing structures and models in businesses, the public sector, and society. Machine learning (ML), an important component for building AI applications, is gaining popularity in automated decision-making with the availability of large-scale data and affordable infrastructure. With these developments, skilled AI and ML engineers and data scientists are in high demand with a wide range of career opportunities everywhere. The program aims to give fundamental knowledge and practical skills needed to design, build, and apply AI systems in a chosen area of specialization. Designing applications which delivers an impact and contributes to sustainable development is an important aspect of the training. Students will undertake projects relevant to one or more Sustainable Development Goals (SDGs). Furthermore, these goals are introduced in the elective courses along with the use cases in core courses where AI has had an impact. This two-year program has been developed to fill the gap in the availability of skilled AI scientists and engineers in Nepal. The program will offer rigorous training in the foundations and application-oriented artificial intelligence. Graduates of this program will have explored a variety of domains such as agriculture, healthcare, industry automation and social media to contribute to economies and societies. They will be capable of undertaking careers in the industry as well as academia.

Learning Outcomes and Career Opportunities
Students who complete the program will be able to demonstrate the ability to integrate AI in various social and organizational contexts. Furthermore, they can design and evaluate AI innovations. They will possess competence and skills to integrate knowledge, analyze complex situations with limited information, identify and creatively address critical issues, plan and execute advanced tasks within set time frames, evaluate their work, effectively communicate findings both nationally and internationally, and possess the skills needed for research, development, or qualified employment. Specific learning objectives of the program include:
> Understand the fundamentals of artificial intelligence, machine learning, natural language processing and computer vision
> Hands-on knowledge of state-of-the-art tools for real-world problem solving
> Analyze and critically discuss ethical issues within AI and that arise from the application of AI
> Review and criticize scientific literature
> Account for the current situation and prospects of AI for some domains such as agriculture, healthcare, IoT, industrial automation and social media
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The graduates will be equipped to take roles such as:
> AI scientists at technology companies working on cutting-edge technologies
> Industry-sponsored PhD
> Analyst and scientist working in banking, finance, telecommunication, health, agriculture, and other sectors that require a systematic understanding of AI and the context
> Entrepreneurs of technology-based business start-ups


2. Master of Applied Science in Data Science
- Total intake: Up to 16
- Tuition fee waiver and scholarships: For up to 4
- Tuition fee waiver: For up to additional 4
- Fee paying: Up to 8
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The two-year Masters of Applied Science in Data Science program is a research-based graduate program that aims to provide students with advanced knowledge and research skills in the field of data science. In this program, students will embark on a journey to explore data science, from foundational concepts to cutting-edge research. Through a blend of core courses, electives, and research, students will engage in deep learning and application of data science principles, culminating in the completion of an original research thesis. This program is structured to nurture critical thinking, problem-solving, and ethical research practices in data science.

Aims
1. Knowledge Advancement: To provide students with a comprehensive understanding of data science principles, methodologies and emerging trends, which enables them to become experts in the field.
2. Research Excellence: To foster an innovative and research-oriented culture that enables students to carry out independent studies and contribute to the data science field.
3. Interdisciplinary Learning: Through multidisciplinary study and collaboration, an integrated perspective of data science's applications and impact on society is established.
4. Professional and Academic Development: To prepare students for both research and industry roles in data science, equipping them with expertise in diverse career paths of data science.

Objectives
1. Implement machine learning algorithms to solve real-world data science problems.
2. Evaluate and compare the performance of machine learning models and choose appropriate techniques for specific tasks.
3.Conduct advanced statistical analysis to derive insights from data.
4. Critically assess and apply ethical guidelines and research methods to ensure the validity of data science research.
5.Create novel research contributions in the field of data science through the Master's thesis. 
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Admission Schedule
- March 3, 2024: Call for Applications
- March 8-April 8 : Application period
- April 10 : Shortlist publication
- April 14 - 15: Written examinations and interview
- April 22 : Publication of admission list
- April 29 - May 5: Admission days
- May 14: Course registration
- May 15: Orientation
- May 16    : Instruction starts

Eligibility
- 4-year Bachelor's in science/engineering/technology subjects with CGPA of 2.75 out of 4.0 (or international equivalent).

Application Submission
Online application form will be available in MBUST at http://mbust.edu.np from March 8, 2024. Applications must be submitted online. Applications are open to all nationalities. Applications in hard copies or scanned copies shall not be entertained.

Application Deadline: 8 April 2024

Bank details to deposit application fee:
MADAN BHANDARI UNIVERSITY OF SCIENCE AND TECHNOLOGY
A/C No. 01800106701870000001
Nepal Bank Limited
Gabahal Branch, Lalitpur

In case of difficulties in applying online, please contact:
Name: Saroj Joshi
Email Id: Jsaroj284@gmail.com
Contact number: 9868795646