Bachelor of Science
Artificial Intelligence & Machine Learning
The BSc in Artificial Intelligence (AI) and Machine Learning (ML) at SSDC, one of the leading artificial intelligence and machine learning colleges in Hyderabad, is a comprehensive three-year undergraduate program designed to provide students with a strong foundation in computer science, while offering specialized expertise in the rapidly evolving fields of AI and ML. Tailored for those aspiring to build successful careers in the tech industry, this program focuses on the development of intelligent systems, data-driven algorithms, advanced analytics, and AI-powered applications.
- Candidates should have passed CBSE(MATHS) /ICSE (MATHS) /10+2/Intermediate or equivalent Examination with MEC/MPC are eligible
- Strong foundation in Programming, Data Structures, and Algorithms
- Machine Learning Models and Predictive Analytics
- Artificial Intelligence Systems Design
- Data Analysis and Visualization Tools
- Hands-on training with Python, R, Power BI, and Tableau
- AI Application Development for Business Solutions
- Real-time Projects and Capstone Assignments
- Cloud Computing for AI Projects
- Deep Learning and Natural Language Processing (NLP)
- Industry-focused Internships and Live Projects
- Exposure to AI Ethics, Governance, and Security
- Entrepreneurship and Tech Innovation Modules
The curriculum blends theoretical learning with practical application, ensuring students gain industry-relevant skills through live projects, internships, and workshops. Graduates emerge well-equipped for high-demand roles such as AI/ML Engineer, Data Analyst, Software Developer, Research Scientist, and AI Application Developer, as well as other emerging opportunities in the ever-expanding technology sector.
Want to explore a future in Artificial Intelligence? Discover our specialized B.Sc program
The Bachelor of Science (BSc) in Artificial Intelligence (AI) and Machine Learning (ML) is a dynamic and future-focused three-year undergraduate program that equips students with a robust foundation in computer science, while delivering in-depth specialization in the fast-growing domains of AI and ML. Designed for forward-thinking individuals aiming to build impactful careers in the tech-driven world, the program emphasizes the design and development of intelligent systems, mastery of data-driven algorithms, predictive analytics, and the creation of AI-powered applications that solve real-world challenges. With a curriculum that bridges theory and practical implementation, this program prepares graduates to thrive in a technology landscape defined by automation, innovation, and intelligent computing.
Key Skills You’ll Gain
- Build a strong foundation in Python, C++, and algorithmic logic to support AI and machine learning development. Helps build a strong foundation in programming and computational skills
- Gain essential mathematical skills in linear algebra, probability, and statistics for intelligent system design. Gain essential knowledge for intelligent system design
- Work on real-world datasets using TensorFlow, PyTorch, and Scikit-learn to build and train machine learning models. Work on real-time datasets to build and train machine learning models.
- Learn to collect, clean, analyze, and visualize data using tools like Pandas, Matplotlib, and Power BI.
Exciting and industry-relevant Courses you’ll explore in our BSc AI & ML program
Infosys SpringBoard Courses
- Fundamentals of AI and ML
- ML Model Handson
- Introduction to Generative AI
- TensorFlow 2.0 Essentials for ML
- Advanced Topics in Supervised ML
- Generative AI and LLMs
- Implementing AI With Amazon ML
- Snowflake Forecasting Models and the AI & ML Studio
- Azure AI Fundamentals: Azure Machine Learning Fundamentals
- Data Analysis with Python
- Cyber Security and Applied Ethical Hacking
- Artificial Intelligence & ChatGPT for Cyber Security 2024
- DevOps Fundamentals
- Learning Full Stack React
And Lot More…..
Potential career opportunities available upon completing a B.Sc. in AI/ML from Siva Sivani Degree College
Graduates of the B.Sc. AI & ML program are equipped with the technical, analytical, and problem-solving skills required to pursue a variety of high-demand roles in both IT and non-IT industries. Here are some of the top career paths
Core AI/ML Roles
- Machine Learning Engineer
Develops self-learning systems and algorithms using supervised and unsupervised learning. - Artificial Intelligence Engineer
Designs AI models and integrates them into real-time applications in industries like healthcare, retail, and finance. - Data Scientist
Extracts actionable insights from structured and unstructured data using advanced statistical techniques. - Computer Vision Engineer
Works on image processing, facial recognition, object detection, and autonomous vehicle systems. - NLP Engineer (Natural Language Processing)
Develops chatbots, speech-to-text engines, and language translation tools.
Software & Data Development Roles
- Software Developer (AI Focused)
Builds intelligent software solutions integrating AI functionalities. - Data Analyst / Business Intelligence Analyst
Analyzes business data to support strategic decisions using tools like Power BI, Tableau, and SQL. - Big Data Engineer
Manages large-scale datasets and works with tools such as Hadoop, Spark, and Kafka.
Emerging Tech & Interdisciplinary Roles
- Automation Engineer / RPA Developer
Implements robotic process automation (RPA) solutions using tools like UiPath and Automation Anywhere. - IoT Data Engineer
Develops AI models for edge devices and IoT platforms. - AI Research Assistant
Supports academic or industry-led research in neural networks, reinforcement learning, or ethics in AI.
Higher Education & Research
- M.Sc. in AI / Data Science / Computer Science
- PG Diploma Programs in Deep Learning, NLP, or Data Analytics
- Research Opportunities at IITs, IIIT-Hyderabad, or international universities
Industries Hiring AI & ML Graduates
- IT & Software Services (TCS, Infosys, Wipro, Cognizant)
- AI Startups & R&D Labs (especially in Hyderabad, Bengaluru, and Pune)
- FinTech and Banking (AI for fraud detection, credit scoring)
- Healthcare (AI in diagnostics and predictive health)
- E-commerce & Retail (recommendation engines, customer analytics)
- EdTech & Gaming (adaptive learning, intelligent agents)