Course Description

Bachelor of Science in Artificial Intelligence is a specialized programme that focuses on the design and development of intelligent systems. Students learn machine learning, deep learning, natural language processing, computer vision, robotics, and AI ethics. The programme includes hands-on projects, AI model development, and internship opportunities with tech companies, research institutions, and innovative startups.

Skills You Will Gain

Machine learning algorithms (supervised, unsupervised, reinforcement, deep learning)

Neural networks and deep learning (CNNs, RNNs, LSTMs, Transformers, BERT, GPT)

Natural language processing (text classification, sentiment analysis, named entity recognition, machine translation, chatbots)

Computer vision (image classification, object detection, segmentation, face recognition, OCR)

Python programming (TensorFlow, PyTorch, Keras, Scikit-learn, NLTK, spaCy, OpenCV)

Data preprocessing and feature engineering

Model training and evaluation (cross-validation, hyperparameter tuning, metrics)

Predictive analytics

AI model deployment (Flask, FastAPI, Docker, cloud deployment - AWS SageMaker, Azure AI, Google Cloud AI)

Robotics fundamentals (ROS, robot control, sensor integration)

Expert systems and knowledge representation

Reinforcement learning (Q-learning, DQN, policy gradients)

AI ethics and responsible AI

Research methods in AI

Mathematical optimization

Statistics and probability

Algorithm design

Pattern recognition

Skill Mastery Level 92%

Taught by experienced instructors

Career Opportunities

AI Engineer (Tech Companies, FinTech Startups - Nala, Selcom, Tech Incubators - Buni Hub, Kinu, Sahara Ventures), Machine Learning Specialist (Banks - CRDB, NMB, NBC, Telecom - Vodacom, Airtel, Tigo, Research Institutions), Robotics Engineer (Automation Companies, Manufacturing, Universities), Data Scientist (Corporate Organizations, Banks, Telecom, Research), AI Researcher (Universities - UDSM, NM-AIST, DIT, SUZA, Research Centers - COSTECH - Tanzania Commission for Science and Technology, Ifakara Health Institute), Computer Vision Engineer (Security Companies, Surveillance, Agriculture Tech, Healthcare Tech), Natural Language Processing Specialist (Language Technology Companies, Chatbot Developers), Intelligent Systems Developer (Government Projects - eGA - e-Government Agency, TRA, NIDA), AI Consultant (Tech Consulting, Freelance), Academic Researcher, AI Product Manager, Machine Learning Operations (MLOps) Engineer, Deep Learning Engineer, AI Solutions Architect, Chatbot Developer, Voice Recognition Specialist, AI Lecturer (Universities - UDSM, NM-AIST, DIT, SUZA)

Entry Requirements

Two principal passes in Advanced Mathematics and one of the following: Physics, Chemistry, or Computer Science. Candidates without Advanced Mathematics must have a subsidiary pass in Basic Applied Mathematics or a minimum of "C" grade in Mathematics at O-Level. Minimum entry points: 4.0.