MS Artificial Intelligence

The Master of Artificial Intelligence (AI) is a newly launched initiative by the Syed Babar Ali School of Science and Engineering (SBASSE) at Lahore University of Management Sciences (LUMS). The program is tailored for students and working professionals to empower individuals with the capabilities to learn and then apply the necessary knowledge and skills for unlocking the full potential of data in today's era. Data is the new global currency that is powering innovation and transformation across various domains. Led by a consortium of experts, the programme taps into the professional expertise of practitioners to bring diverse domain expertise into the confluence of artificial intelligence while focusing on mathematical underpinnings and relevant skills for industry.  

Programme Structure

The MS Artificial Intelligence programme requires a total of 30 credit hours for completion. There are two programme structures available:

  • Thesis option: In the thesis option, students will take eight 3 credit hour courses, totaling 24 credit hours, and complete an MS thesis worth 6 credit hours. The MS thesis is divided into two components, MS Thesis I and II, worth 3 credit hours each.
  • Non-thesis option: In the non-thesis option, students will take nine 3 credit hour courses, totaling 27 credit hours, and undertake a capstone project worth 3 credit hours. The remaining 3 credit hours will be fulfilled by specialized courses.

In both options, the students will have the opportunity to apply the theoretical knowledge acquired throughout the program to practical, real-world scenarios. Through the training in thesis and projects, the students will closely mirror the challenges that may encounter in professional settings, whether in industry, academia, or government organizations, ensuring a robust and applicable learning experience.

Program Concentrations: Tailoring the Learning Experience

The programme offers the students flexibility to build on the program’s required core courses with electives from an exhaustive list to tailor their degree experience that reflects their interests, strengths, and career goal. Our faculty members are deeply involved in various AI domains, and to align with their expertise, we've introduced distinct AI specializations. These specializations feature elective courses meticulously crafted for the unique interests of students in each specialized field. 

  • AI for Hardware
  • AI for Sustainability
  • AI for Health & Biomedical Imaging
  • AI for Energy and Power Systems
  • AI for Robotics
  • AI for Society
  • AI for Language & Speed
  • AI for Operations/Supply Chain Management

Career Opportunities for Graduates

The MS Artificial Intelligence programme is designed to equip students with the necessary skills and knowledge for various AI and Machine Learning careers. Graduates of this programme can secure positions at renowned technology companies, governmental institutions, and prestigious academic institutions. Our esteemed faculty, consisting of accomplished experts in their respective fields, will guide and mentor students, nurturing their abilities and fostering growth. Moreover, the programme presents many research prospects, enabling students to engage in groundbreaking AI projects. 

Here are some of the potential career opportunities for graduates of the MS AI programme:

  • Startups based on tools and devices developed as part of their projects or thesis
  • Hospitals, diagnostic labs, and clinical research centres that use AI to improve patient care
  • Regulatory authorities that develop and enforce regulations governing the use of AI
  • Manufacturing industry that uses AI to improve product design, manufacturing, and quality control
  • Systems biology that use AI to study complex biological systems
  • Computational tool developers who develop software tools for AI
  • e-health solution providers who develop and deliver e-health solutions using AI
  • Energy and power sector that use AI to improve energy efficiency and reliability
  • Supply chain management that use AI to optimize supply chains and improve inventory management
  • Banking that uses AI to improve fraud detection, risk assessment, and customer service
  • Database and management that use AI to improve database performance and security 
    Hardware design that use AI to design new hardware products and improve the performance of existing hardware products
  • Pursue doctoral studies in AI and machine learning
  • Digital Sustainable Agriculture that uses AI for decision support in water, soil & pest management, weather forecasting, climate change adaptation, crop yield maximization, etc. 

For more information about the programme structure and curriculum, reach out to us at ai@lums.edu.pk.