Computer Science and Engineering (Artificial Intelligence and Machine Learning - AIML) is a 4-year, 8 semester Undergraduate program aimed at studying, designing, developing, implementing, supporting and managing computer-based artificial intelligent systems. Students under this course learn advanced learning solutions imparting knowledge of innovations in machine learning, deep learning and artificial intelligence (AI). The AIML program provides a rigorous introduction to machine learning, as well as opportunities to explore theoretical and project-based learning in digital image and natural language processing. This course discusses AI methods based on different fields, including neural networks, signal processing, control, and data mining in order to present a unified treatment of machine learning problems and solutions. 

This course emphasizes on developing the necessary skills for the students to sustain in today’s industrial expectation, in pursuit of excellence by keeping high
personal and professional values and ethics. BTech CSE-AIML program is designed to enable students to build intelligent machines, software applications with a cutting-edge combination of Computer Vision technologies. This course discusses Intelligent Systems, Supervised and Unsupervised Learning, Neural Networks, and Inductive based Learning in order to design AI Based Applications for the real-world problems.

Computer Science and Engineering (Data Science) is a 4 year, 8 semesters undergraduate program which is a new, exponentially growing field that consists of a set of tools and techniques used to extract useful information from data. The program encompasses data Science as an interdisciplinary, problem-solving oriented subject that learns to apply scientific techniques to practical problems. The course curriculum involves a blend of data inference, algorithm development, and technology to analytically solve complex problems. The program imparts a confluence of skills in three major areas of mathematical expertise, technology hacking skills, and business strategy and acumen. The core of this program is the ultimate use of enormous data in creative ways to generate business value. Hidden insights are brought to the fore to enable companies to make smarter business decisions. Data Science program orients on practical classes and self-study during the preparation of datasets and programming of data analysis tasks.

This course emphasizes on developing the necessary skills for the students to sustain in today’s industrial expectation, in the pursuit of excellence by keeping high personal and professional values and ethics. BTech CSE-Data Science specialization program is a multidisciplinary field that combines statistics, programming, domain knowledge, and data analysis skills. The increasing significance of data in our digital age, along with the numerous opportunities it presents across industries, makes data science courses highly sought after by individuals and organizations looking to harness the power of data for better decision-making and innovation. The demand for data scientists and data architects have been on the rise in recent years, and this trend is expected to continue for the foreseeable future.

Computer Science and Engineering (Artificial Intelligence and Machine Learning - AIML) is a 4-year, 8 semester Undergraduate program aimed at studying, designing, developing, implementing, supporting and managing computer-based artificial intelligent systems. Students under this course learn advanced learning solutions imparting knowledge of innovations in machine learning, deep learning and artificial intelligence (AI). The AIML program provides a rigorous introduction to machine learning, as well as opportunities to explore theoretical and project-based learning in digital image and natural language processing. This course discusses AI methods based on different fields, including neural networks, signal processing, control, and data mining in order to present a unified treatment of machine learning problems and solutions. 

This course emphasizes on developing the necessary skills for the students to sustain in today’s industrial expectation, in pursuit of excellence by keeping high
personal and professional values and ethics. BTech CSE-AIML program is designed to enable students to build intelligent machines, software applications with a cutting-edge combination of Computer Vision technologies. This course discusses Intelligent Systems, Supervised and Unsupervised Learning, Neural Networks, and Inductive based Learning in order to design AI Based Applications for the real-world problems.

Computer Science and Engineering (Data Science) is a 4 year, 8 semesters undergraduate program which is a new, exponentially growing field that consists of a set of tools and techniques used to extract useful information from data. The program encompasses data Science as an interdisciplinary, problem-solving oriented subject that learns to apply scientific techniques to practical problems. The course curriculum involves a blend of data inference, algorithm development, and technology to analytically solve complex problems. The program imparts a confluence of skills in three major areas of mathematical expertise, technology hacking skills, and business strategy and acumen. The core of this program is the ultimate use of enormous data in creative ways to generate business value. Hidden insights are brought to the fore to enable companies to make smarter business decisions. Data Science program orients on practical classes and self-study during the preparation of datasets and programming of data analysis tasks.

This course emphasizes on developing the necessary skills for the students to sustain in today’s industrial expectation, in the pursuit of excellence by keeping high personal and professional values and ethics. BTech CSE-Data Science specialization program is a multidisciplinary field that combines statistics, programming, domain knowledge, and data analysis skills. The increasing significance of data in our digital age, along with the numerous opportunities it presents across industries, makes data science courses highly sought after by individuals and organizations looking to harness the power of data for better decision-making and innovation. The demand for data scientists and data architects have been on the rise in recent years, and this trend is expected to continue for the foreseeable future.

B.Tech. in Artificial Intelligence and Machine Learning is the currently the most trending area with applications encompassing the whole gamut of domains ranging from Agriculture, health care, consumer electronics, transportation, construction, e-commerce to name a few. The aim of this programme is to develop professional engineers who are well versed with the concepts of Artificial intelligence and machine learning and apply it in various applications. Delivery of the curriculum is through a problem based and project-based approach.  The students are provided with a 360-degree holistic education with an equal weightage being given to co-curricular and extra-curricular activities along with the necessary skill development required for engineering industry.   

Further Highlights of the Programme include,
• Globally competent curriculum vetted through involvement of industry experts and academic experts in line with industry requirements. 
• The students will have mandatory internships and also industry-based student internships to understand the requirements of industry. 
• Students are given a plethora of interdisciplinary and multidisciplinary disciplines through open electives and global electives in line with National Education Policy 2020. 
• Industry oriented curriculum towards providing opportunities to solve real time problems faced by industries.  
• Application based teaching learning through case studies and frequent field visits. 
• Opportunity to hone their skill sets required in a particular domain through Honours and Minor programmes.

M. Tech in Data Science is a two year, four semester post-graduate programme with an objective to impart the knowledge on methodologies, techniques and concepts related to data science which includes mathematics, statistics, data warehousing, data mining, machine learning and visualization techniques. The main objective of this program is to provide one of the best post graduate education to students so that they can meet the growing regional, national and international need for highly qualified personnel in the fields of data science, natural language processing and artificial intelligence. The curriculum is framed by experienced academic and industrial expertise, by considering current as well as future demands of enterprises.  

By looking at the multidisciplinary nature of data science, the curriculum offers many interdisciplinary subjects and also encourages students to do their dissertation in a multidisciplinary environment.  The programme enables students to apply the knowledge of data science and computer science in the field of natural language processing, Big data as well as many emerging technologies for solving the real world problems encountered during day-to-day life. Students will get a good exposure to interpret, manage as well as evaluate the large amount of heterogeneous data in the real time environment. In addition to this the department offers dedicated labs and a research centre where students are encouraged to do their research under the supervision of a dedicated supervisor.