B.Sc. Engineering in Artificial Intelligence and Data Science

Program Educational Objectives (PEO)

Graduates of the BSc in Artificial Intelligence and Data Science program are expected to achieve the following objectives within a few years of graduation:

• PEO 1: Professional Excellence
  Graduates will demonstrate competence in applying AI, data science, and computing principles to design, develop, and implement intelligent systems and data-driven solutions in diverse professional settings.
• PEO 2: Innovation and Research
  Graduates will engage in innovative research, lifelong learning, and advanced studies in AI, machine learning, and related fields to contribute to technological advancements and knowledge creation.
• PEO 3: Ethical and Sustainable Practice
  Graduates will uphold high ethical standards and social responsibility, applying AI and data technologies in ways that promote sustainability, fairness, and societal well-being.
• PEO 4: Leadership and Teamwork
  Graduates will function effectively as individuals, team members, or leaders in multidisciplinary environments, demonstrating strong communication, collaboration, and project management skills.
• PEO 5: Global and Societal Impact
  Graduates will contribute to solving real-world problems through AI-driven innovations that address global, national, and community challenges across industries and sectors.

Program Outcomes (PO)

Graduates of the BSc in Artificial Intelligence and Data Science program are expected to attain the following Program Outcomes (POs) by the time of graduation.

• PLO 1: Knowledge of AI and Data Science Fundamentals
  Graduates will be able to apply core concepts of artificial intelligence, machine learning, data analytics, statistics, and programming to solve real-world problems. (Supports PEO 1: Professional Excellence)
• PLO 2: Problem Solving and Innovation Skills
  Graduates will be able to design, develop, and evaluate AI-driven solutions using critical thinking, creativity, and research-based approaches. (Supports PEO 2: Innovation and Research)
• PLO 3: Ethical and Responsible Practice
  Graduates will demonstrate understanding of ethical, legal, and societal issues related to AI and data usage, ensuring responsible and sustainable application in local and global contexts. (Supports PEO 3: Ethical and Sustainable Practice)
• PLO 4: Communication and Teamwork
  Graduates will be able to work effectively both independently and in multidisciplinary teams, and communicate technical information clearly to diverse audiences. (Supports PEO 4: Leadership and Teamwork)
• PLO 5: Global Awareness and Societal Contribution
  Graduates will be capable of applying AI and data science knowledge to address national priorities (e.g., Bangladesh’s development needs) and global challenges. (Supports PEO 5: Global and Societal Impact)

Admission Requirements

Every candidate, without any exception, must fulfill the admission requirements as laid down by the University. A higher secondary certificate or its equivalent in science fields of study is the basic educational requirement.

• Candidates having at least a GPA of 3.50 in SSC and HSC or equivalent are eligible to apply for admission to the B.Sc. in AI and Data Science program.
• Candidates who have passed at least 5 papers in GCE “O” Level (with Mathematics as one of the subjects) and two papers of “A” Level may also apply provided they have obtained a minimum of 2.5 points (weighted average) in both “O” & “A” level.
• A Higher Secondary Certificate or its equivalent in Science with Mathematics and Physics or other fields of study is the basic educational requirement.

Course Structure

List of Courses