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

at University of Petroleum and Energy Studies India

This course provides a holistic view of the techno-commercial and policy-cum-regulatory framework of energy and its relationship with other sectors. The curriculum deepens the students’ understanding of the relationship between commercial economics, industry profitability, regulatory reforms vis-a-vis conservation, development, environmental impact, and judicious use of resources.

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.

Integrated (B.Des) - (M.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.

With the advent of massive digitization and integration of business processes, huge amount of data is generated across various applications. Managing and processing data is increasingly becoming difficult with the conventional techniques and tools. Big data analytics is a domain that deals with the analysis of huge and heterogeneous data. The course focuses on Big Data analysis, existing frameworks, techniques, and its real-world applications along with the key technologies used in manipulating, storing, and analysing it. ?

The growing communications industry in India has opened new avenues for media professionals. This degree program caters to the growing demand for digital savvy communicators in this space. It is designed to empower students interested in strategic communications, event management, public relations & corporate communications. The program focuses on developing marketing campaigns, internal & external communication skills & strategic media planning. Students interested in careers in PR Agencies, Event Management Companies, Corporates or the Public Sector would be a good fit for this course.
 

The Specialization in Media Management, Marketing Campaigns and Strategic Communications, equips students with a strategic 360-degree corporate communication toolset for effective marketing communication. Students interested in managing brand products, working in the marketing space globally, using development communication in the social sector or entering strategic communications professionally or particularly suited for this course. The broad themes students would be exploring in detail as part of this specialisation include: Managing Brands, Marketing Communications, Product Management, Campaign Design, Strategic Marketing and Communication for Social Development.

The curriculum focuses on various aspects of mass media -- from writing for media to developing communication skills to learning the basics of electronic and digital productions. The program also bridges the gap between theory and practice by engaging with industry experts who bring real-world knowledge and experience to our students.

This course deals with the inter-combination of statistics and computer science with an aim to extract patterns of information from given raw data (unprocessed data) and transform the data to provide meaningful information for business use. It covers the concepts of machine learning used as data mining techniques and touches upon the differences between data science and data mining. Students will be able to use the different data mining techniques such as association, clustering, and use different data mining applications such as market basket analysis and customer relationship management.

The specialization prepares the students on subjects including Service Operations and Total Quality Management. The emphasis is on developing critical as well as analytical thinking in the specialized area though case study, projects, workshops, masterclasses by industry experts, among other pedagogical tools.

Regulatory Affairs is a domain with a broad overview and the responsibility for collecting all kinds of data from the development processes and sending it to regulatory authorities. The courses will provide broad perspectives and integrated knowledge to the students from Innovation →Discovery → Approval→ Commercialization which implies regulatory affairs are essential to bring the product to the market globally. This course specialization provides a comprehensive education in the important aspects of Regulatory and Quality compliance in pharmaceutical industry. Students gets updated with the current regulatory and compliance issues and explore careers in these exciting times. Nowadays regulations and ever changing laws are driving demand for pharmaceutical regulatory affair professionals who can help companies successfully bring medical products to the market.

In addition this program also offers Artificial Intelligence and Machine Learning (AIML) applications in Clinical Research to upgrade Medical and Health Science. Machine Learning Techniques like pre-trained deep learning models and convolutional neural networks (CNN) provides excellent opportunities for drug-development processes and makes clinical trial more intelligent.

The course equips students on subjects including Security Analysis and Portfolio Management, and International Financial Management, giving an understanding of the finance division of an organization or for pursuing higher education such as MBA, MS (Finance), FRM, and CFA program. Case studies and practical examples are at the core of this course. Students undertake term projects to apply the theoretical frameworks to business management issues, especially finance.