Master of Business Administration in Digital Business with Specialization Search Engine Optimization

at University of Petroleum and Energy Studies India

UPES School of Design’s Under Graduate Programme, B.Des. in Fashion Design introduces students to a combination of traditional craft techniques with digital technologies to transform concepts from two-dimensional fabrics into three-dimensional forms. The programme covers all aspects of the design process, from trend analysis, research and design development, drawing and illustration, colour and fabric development, historical and cultural studies, translation of ideas from 2D to 3D through to presentation, marketing and business development.

Bachelor of Business Administration and Bachelor of Legislative Law (BBA + LLB) is a five-year integrated dual degree course which provides an integrated study of management studies and legislative law in an entirely independent manner.

This course is designed to train students in the intricacies of law as well as financial markets, making them proficient in all basic law subjects such as constitutional law, criminal law, and international law. In addition to these, it has an in-depth focus on laws related to banking, finance and insurance, the pillars of modern economies, and regulatory bodies related to these fields such as Securities and Exchange Board of India (SEBI), Reserve Bank of India (RBI), Insurance Regulatory and Development Authority of India (IRDAI), Competition Commission of India (CCI), and Pension Fund Regulatory and Development Authority (PFRDA).

The course provides a background for those interested in pursuing careers in governmental agencies, non-governmental organizations, management in hospitals or public health institutions, consulting in private firms, school boards, and human resources. The program not only makes you eligible but also gives you a better chance to qualify the Indian Civil Services exams.

Students pursuing Business Analytics and Optimization learn the essential computer science concepts such as Data Structures, Algorithms, OOPS concepts using Java, databases and software engineering and design processes, but also learns Advance Statistical Analysis, Data Mining and Predictive Modeling, Business Intelligence, Business Strategy and Analytics, Operations Research and Optimization, Social and Web Analytics, BAO on cloud, Big Data Analytics, Content Analytics.

Business analytics makes extensive use of statistical analysis, including explanatory and predictive modeling, and fact-based management to drive decision making.

This program offers basic technologies of Virtualization (enabler of Cloud), infrastructure less computing at client side by IaaS (Infrastructure as a Service)-by Vmware, Virtual Box, Openstack etc., PaaS (Platform as a service), having platforms for development environments, SaaS(Software as a Service), deploying software on cloud enabled infrastructure, performance tuning of deployed objects-checking efficiency and security in Cloud.

Plant Biotechnology assist in developing new varieties of crop like genetically engineered crop, marker assisted selection, genetics and genomics, etc. This field of study helps in identifying and mapping genes, discovering their functions and transferring desired gene to specific plants as per requirement. This branch of study also focuses on all aspects of the genetic engineering process to enhance efficiency, expression and precision of added gene.

This programs’ problem-based learning mechanism, emphasizes on genomics, proteomics and metabolomics. The curriculum for Plant Biotechnology is planned with theoretical studies, where students will get hands on experience by performing some of the techniques used to detect genetic variations and its implications in plants. Students will be subjected to problem solving sessions to enhance their ability to apply and design their own research projects.

This integrated specialization further offers students a chance to choose between two MBA specializations: 

• Biotechnology Marketing
• Biotechnology Product Management

UPES provides unique and focused Integrated M.Sc-PhD course aiming to deliver expertise in theoretical and experimental understanding of Chemistry and its allied disciplines. The program is designed such that after completing it, students would be able to excel in academia, industries, and research. The faculty members in the department have diverse research expertise including but not limited to organic chemistry, materials science, nanotechnology, renewable energy, etc., which would provide students flexibility in opting for their PhD topic. The curriculum is designed to give exposure not only about the subject but also research ethics, communication and skill augmentation. The completion of the course ensures deep knowledge with wide exposure, intellectual development, and ethical awareness that make students ready for various professional research, industrial and academic opportunities.

Continually growing program that meets the need of the evolving 21st century civil engineering industry. Get trained on a range of topics including designing, planning, construction, repair & maintenance and rehabilitation. Gain knowledge to provide sustainable civil engineering solutions, considering environment and societal impacts.

UPES School of Design’s Under Graduate Programme, B.Des. in Animation and VFX prepares students with a strong grounding in design, video and audio skills, alongside modeling, rigging, texturing, lighting, digital cinematography, digital color grading, and 3D digital graphics. The course modules also cover motion graphics and virtual studio skills, alongside compositing, 3D tracking, particles, and dynamics.

In this specialisation, students learn about essential concepts such as data structures, algorithms, OOPS concepts using Java, databases, software engineering and design processes. Students will also obtain an in-depth knowledge of machine learning and artificial intelligence by implementing real-world problems in a wide variety of application domains such as robotics, computer vision, natural language processing, etc. Students will be experienced in machine learning pipeline, data, models, algorithms and empirics.