BML Munjal University

B.Tech. in CSE (Cyber Security) is a 4-year undergraduate program that combines computer science and engineering with a concentration on cybersecurity. The curriculum includes core computer science ideas, programming languages, and network security, as well as more advanced topics such as cryptography, ethical hacking, and digital forensics.This course taught us about how to secure computer systems, networks, and data against cyber attacks. The program also offers hands-on training, projects, and internships to prepare students for careers in cybersecurity, information security, and related sectors.

B.Tech. in Computer Science and Engineering (CSE) with a Specialization in Artificial Intelligence is an undergraduate degree program that combines regular computer science study with an emphasis on AI technology. This 4-year course provides students with a solid foundation in programming, data structures, algorithms, and software engineering, as well as deep dives into AI-specific topics including machine learning, deep learning, natural language processing, computer vision, and robotics. Program will help to learn how to use AI approaches to create intelligent systems, evaluate complex data, and solve real-world problems. Hands-on projects, internships, and research opportunities are frequently included in the curriculum to provide students with actual experience using AI ideas. 

The B.Tech. in Data Analytics is a 4-year undergraduate degree that provides candidates a solid foundation in data science, machine learning, and business intelligence. The curriculum includes topics such as programming, data structures, database management, statistical modeling, and big data technologies. Through hands-on projects and industry internships, students acquire expertise extracting insights from complicated data sets in order to make educated choices. Graduates of this program have the technical and analytical abilities to work as data analysts, business intelligence experts, data engineers, and data scientists in a variety of businesses, as well as to pursue further studies in data analytics.

The M.Tech. in Data Analytics is a 2-year postgraduate program that teaches students advanced skills in data mining, machine learning, predictive modeling, and business intelligence. The program includes topics such as big data technology, data visualization, prescriptive analytics, and applied statistics. Through hands-on projects and industry internships, students acquire expertise extracting insights from complicated data sets to inform strategic decision-making. This curriculum prepares graduates for positions as data scientists, business analysts, data engineers, and analytics consultants in a variety of sectors, as well as data science research positions.

B.Tech. in Bioinformatics is typically a 4-year undergraduate program that combines biology, computer science, and information technology. This interdisciplinary degree equips students with skills to analyze biological data using computational methods. The curriculum often includes courses in molecular biology, genetics, programming, database management, and statistical analysis. Students learn to develop algorithms, use bioinformatics tools, and interpret genomic and proteomic data. The program may also cover topics like systems biology, structural bioinformatics, and machine learning applications in biology. Graduates are prepared for careers in research institutions, pharmaceutical companies, and biotechnology firms, where they can contribute to areas such as drug discovery, personalized medicine, and genomic analysis.

M.Tech. in Bioinformatics is typically a 2-year postgraduate program that combines biology, computer science, and information technology. This interdisciplinary course equips students with skills to analyze and interpret biological data using computational methods. The curriculum often includes subjects like genomics, proteomics, molecular biology, programming languages, database management, and machine learning. Students acquire to develop algorithms, use bioinformatics tools, and manage large-scale biological datasets. The program usually culminates in a research project or thesis. Graduates find opportunities in pharmaceutical companies, research institutions, and biotechnology firms, working on drug discovery, personalized medicine, and genomic analysis. This degree is ideal for those passionate about bridging the gap between biological sciences and computational technologies.

B.Tech. in Machine Learning is a 4-year undergraduate program that teaches students fundamental computer science principles as well as specialized abilities in machine learning algorithms, data analysis, and artificial intelligence (AI). The curriculum usually incorporates programming, data structures, mathematics, and fundamental machine learning concepts like supervised and unsupervised learning, neural networks, and deep learning. Labs, projects, and internships provide students with practical knowledge as they prepare for careers in data science, AI development, robotics, and other fields. Graduates are well-prepared to work in industries such as banking, healthcare, and technology, or to pursue additional studies in AI and machine learning.

 

Bachelor of Technology (B.Tech.) in Data Science is a 4-year undergraduate program that equips students with skills in data analysis, machine learning, artificial intelligence, and big data management. This course combines technical and analytical training, including programming languages like Python and R, statistical methods, and data visualization techniques to prepare graduates for the growing demand in data-driven industries. Throughout the program, students learn to process, analyze, and interpret complex data sets, turning raw data into actionable insights. Graduates find career opportunities as data scientists, data engineers, and business analysts across various sectors, including technology, finance, and healthcare.