Bachelor of Business Administration / Bachelor of Law (B.B.A. LL.B.) (Honours)

at Manav Rachna University India

BBA (Operations Management) is a three-year undergraduate program designed to prepare the students for a professional qualification. During this program, the students are imparted with the knowledge of fundamental management subjects and elective in Supply Chain Management Logistics & Projects Management.

BSc physics is a three-year undergraduate course that deals with the fundamentals of physics. BSc in Physics aims at teaching graduates essential topics such as quantum mechanics, Electromagnetism, optics, calculus semiconductors, waves, statistics, etc.

BBA Entrepreneurship & Family Business is a three-year undergraduate program designed to prepare the students to start their own businesses, run family businesses, and manage new ventures within established organizations. During this program, the students are imparted with the knowledge of fundamental management subjects and elective specialized entrepreneurship subjects such as new venture creation; entrepreneurship theory and practices; family business management; creativity, innovation and entrepreneurship etc.

The scope of computer science is endless. The computer engineering and IT Applications fields are experiencing an increase of opportunity driven by the technological transformation of every industry. The current market outlook is being shaped by the demand for technological solutions and innovation—particularly in mobile computing—and a host of emerging markets such as Big Data, Apps Development, Web Development, Internet of things, Nanotechnology and green computing.

B.Tech. CSE with specialization in Cyber Security & Threat Intelligence program is designed to address the industry’s increasing demand for skilled security professionals in the public and private sectors. This program is specifically meant to improve mindfulness and redesign the abilities of engineering graduates. The program is designed by industry experts keeping in mind the current industry needs vis-à-vis academic proficiency of the students. This specially designed program helps to bridge the gap between industry and academia so as to create an employable workforce ready to take on challenging roles in the domain of cybersecurity. This program also focuses on knowing the dark web, adversaries, and their tools, tactics, and procedures (TTP). Using this knowledge students can build intelligence-led security programs, where the intelligence gathered on the field about adversary leads to security decisions and investments.

BA + B.Ed is an undergraduate dual-degree program which is of a total of 4 years duration divided into a total of 8 semesters. Through the course, the students are offered an in-depth knowledge for the different subjects which are included in Arts & Professional Studies including Hindi, English, Political Science, Geography, History,  Economics, Psychology as well as Sociology.

The scope of computer science is endless. The computer engineering and IT Applications fields are experiencing an increase of opportunity driven by the technological transformation of every industry. The current market outlook is being shaped by the demand for technological solutions and innovation—particularly in mobile computing—and a host of emerging markets such as Big Data, Apps Development, Web Development, Internet of things, Nanotechnology and green computing.

• Smart Manufacturing: Covering the areas of Nano Technology, Cyber Physical systems, Data Analytics, Artificial intelligence and Machine Learning, Internet of Things, Cloud Computing, Robotics, Mechatronics and 3D Printing.
• Energy: Covering the areas of Thermodynamics, Thermal Engg, Heat transfer, Computational Fluid dynamics, Solar Energy and its application, IC Engine and HVAC.

The B.Tech specialization in Artificial Intelligence & Machine Learning — the curricula is created with an intent to educate the engineering students on the cutting-edge technologies This courseware is going to teach the engineering students on Mathematical Foundations, Statistical Foundations, Machine Learning, Neural Networks, Applied Artificial Intelligence.