Course Details

Duration

Typically, B.Sc., Artificial Intelligence is a three-year undergraduate degree program.

Curriculum

Artificial Intelligence

Introduction to intelligent systems, AI techniques, automation, reasoning, and problem-solving concepts.

Machine Learning

Supervised learning, unsupervised learning, regression, classification, clustering algorithms, support vector machines, and decision trees.

Data Science

Big Data concepts, exploratory data analysis, machine learning algorithms, Hadoop framework, and predictive analytics.

R Programming

R language fundamentals, vectors, matrices, lists, data frames, visualization, and statistical analysis.

R Programming Lab

Practical implementation of R programming concepts including operators, vectors, recursion, object-oriented programming, and statistical applications.

Internet of Things (IoT)

IoT architecture, smart devices, industrial IoT, data management, security, and IoT applications.

Cloud Computing

Cloud models, virtualization, cloud services, scalability, storage systems, cloud applications, and benchmarking.

Software Engineering

Software development lifecycle, system analysis, software design, coding, testing, and software maintenance.

Software Project Management

Project planning, scheduling, software quality assurance, cost estimation, risk management, and project development methodologies.

Operating System Design

Process management, synchronization, deadlocks, memory management, paging, virtual memory, and file systems.

Data Mining

Data preprocessing, association rules, classification, prediction, clustering techniques, and data warehousing concepts.

Data Communication and Networking

Computer networks, TCP/IP protocols, OSI model, wireless communication, network architecture, and communication systems.

Programming Languages

Python, R Programming, SQL, and programming concepts used in Artificial Intelligence and Data Science applications.

Laboratory Work and Projects

Students gain practical exposure through programming labs, mini projects, machine learning implementations, cloud-based applications, seminars, workshops, industrial visits, and research-oriented activities.

Internship / Industrial Training

Internship opportunities and industrial training programs are provided to enhance practical knowledge and real-world industry experience.

Career Opportunities

Machine Learning Engineer

Developing predictive models and intelligent systems using machine learning algorithms.

Artificial Intelligence Developer

Building AI-powered software applications and automation systems.

Data Scientist

Analyzing and interpreting complex data sets to support business decisions.

Data Analyst

Performing data visualization, reporting, and statistical analysis.

Cloud Engineer

Managing cloud infrastructure, deployment, and cloud-based applications.

IoT Developer

Designing smart devices and IoT-enabled applications.

Software Developer

Designing, developing, testing, and maintaining software applications.

Network Administrator

Managing networking systems and communication technologies.

Database Administrator

Managing databases, data security, and database optimization.

Research Assistant

Supporting research and development activities in AI and Data Science fields.

Entrepreneurship

Starting innovative AI-based startups and technology solution companies.