The core goal of the LM Thapar School of Management is to produce a graduate who can understand global business and management practices MBA - Business Analytics and Big Data (BABD) is one of the emerging fields for new-era students. LM Thapar School of Management is the best institute that provides 2 years full-time MBA program with a total of ten specializations. Students can opt for any one of these courses like Marketing Management & Analytics, Business Statistics & Modeling, Analytics Programming with R, Machine Learning, Data Mining, Machine Learning, Big Data Management & Computing, Credit Risk Analytics, and many more. 

Ques. What are the latest best courses that you are offering in your institute which will help the students to exceed and excel other students?

LM Thapar School of Management provides a two-year full-time MBA program to its students with around ten specializations. All of the programs aim to develop the students as globally sensitive, scholarly practitioners with a social entrepreneurial mindset. All the specializations which are provided at LMTSM are planned in accordance with the demands of the industry, and specifically, the dual specialization arrangement is very convenient for the students and now they are able to follow the right path of their career according to the emerging trends and requirements in the corporate world.

MBA - Business Analytics and Big Data (BABD) are one of the specializations that LM Thapar School of Management has started with great enthusiasm to get the soaring / trending demand in the market.

In the last few years around 90% of the world's data has been generated. In day-to-day life today, more than 5.1 billion internet users and 3.5 billion smartphone users globally generate more than 2.5 quintillion bytes (2.5 X 10^18 bytes). Everyday data generation is increasing and according to the big amount of data generation, now it has become an evaluative corporate asset and competitive advantage for companies everywhere. Globally now it has led to a massive increase in demand for data analytics professionals.

Ques. What are the factors that make this program the best for the students to opt for?

There are various factors that can attract students by planning big data and business analytics programs:

1. High demand: With the rise of data-driven decision-making in businesses across industries, there is a high demand for professionals with skills in big data and analytics.
2. Innovative mindset: This is forward and creative thinking that one can draw to innovate and improve by leveraging business analytics and big data with confidence.
3. Career opportunities: This is one of the fast-growing and soaring industries with a big data and analytics background. Graduates of Big Data skills and expertise programs can find employment in various industries, including finance, healthcare, marketing, and technology.
4. Competitive Salaries: According to the role or position salary varies. But in the big data and analytics field, the entry-level salary is pretty good. Big data and analytics professionals can earn high salaries due to their demanding specialized skill sets.
5. Interdisciplinary nature: Big data and Data analytics programs combine computer science, statistics, and business, allowing students to gain a well-rounded education that can be applied in a number of fields.
6. Advancements in Technology: With the rapid advancement of new technologies, big data, and analytics will continue to evolve and provide students with to chance to work with cutting-edge tools and techniques. 
7. Personal interest: For students who love data, technology, and problem-solving may find big data and analytics may be an ideal fit.

The combination of high demand, career opportunities, competitive salaries, interdisciplinary education, technological advancements, and personal interest in big data and business analytics programs makes them an excellent choice for students looking to enter a dynamic and growing industry.

Ques. What will you say are the “best practices” in the course that you are offering

Effective communication of insights derived from data analysis is crucial. An emphasis is placed on data visualization, storytelling, and effective communication in the business analytics and big data course.

1. Focus on practical applications: To gain practical experience in data analysis, students work with real-world data sets and use industry-standard tools.
2. Collaborate with peers: It is necessary for team members with different skill sets to collaborate on projects related to Business Analytics and Big Data. Teamwork and communication skills can be developed by collaborating with peers.
3. Understand the fundamentals: Business analytics and big data require a solid foundation in statistics, computer programming, and data analysis. By developing a solid understanding of these fundamentals, you will be able to dive into more advanced material.

Ques. What are some valuable insights from the course that you are offering at your institute/dept.?

In this specialization, students will develop the following competencies:

• Building and deploying machine learning models requires extracting, transforming, loading, and integrating huge volumes of data.
• Gain proficiency in important analytical programming languages and learn how to apply them to obtain analytical results for various business situations.
• To deal with real-world problems develop skills in creating machine learning models 
• Need appreciation for the importance of contemporary developments in the analytics domain and its impact on business and society today and in the future.

Ques. How does the program ensure students are prepared for the future?

Business Analytics & Big Data specialization provides students with opportunities to gain expertise and build careers in business analytics and big data. Students will learn how to analyze large volumes of structured and unstructured data to make informed business decisions in marketing, human resources, finance, and operations. By taking this course, students will develop an analytical mindset and data-oriented skills.

Ques. How did you train yourself/faculty to deliver this program to the students?

For a more engaged teaching and learning process, faculty use pedagogical tools like case discussion, case analysis, flipped classrooms, video interventions, problem-solving, in-class tests, tutorials, etc. In any case discussion or flipped classroom setup, the brighter students are encouraged to take over the class and play an important role in the teaching and learning process. Most core courses in three credits have two lectures and one tutorial class every week. Students are divided into smaller groups for the tutorial class. To improve the doubts and queries of weaker students institute held small group tutorial classes. The institute always suggests faculty members take revision classes to clear the concepts which were taught in the class with difficult problems to clear doubts.

Ques. How do you build an industry connection with this program?

To develop industry connections, It’s necessary to establish a relationship with fulfilling the requirements from both sides. An industry connection should be two-way traffic and it should be long-lasting. With this association definitely, the industry partners will be benefitted and students should take the advantage of this association in getting experience as much as possible.

There are some important and successful models in the industry which connect the industry with these programs like internships program for students, projects on consultancy, various research projects, case studies, and engagement in hosting and conducting industry events, conferences, workshops, and seminars, and in-practice course fulfillment with the industry partners.

Ques. What challenges did you face while inculcating this program into your curriculum?

The key requirements in any good Business Analytics program are Imultidisciplinary content. There are various good analytics programs like Science, Computer, Management, and Statistics that should blend with good analytics programs that are suggested by multidisciplinary content. As a university with expertise in computer science, management, and mathematics, we minimized this challenge by leveraging our interdisciplinary strengths. The industry interface for project-based learning is another challenge. In India, most of the faculties in college for the data analytics course are hired by experienced IT companies employee. So, these faculties are very valuable in enabling experience / project-based learning of analytics subjects among the students.