Best MBA Business Analytics College in Punjab, India

Highlights of Department

• Unique Programs: With focus on contemporary areas in Technology & Management, AIT provides human resources to perform in fast-evolving environments.
• Industry Collaborations: AIT provides ‘Best in Market’ methods & resources to its students by collaborating with market leader organizations in course areas.
• Best in Class Faculty: AIT has built a team of industry experienced, highly competent & passionate individuals who can provide unmatchable teaching experience to the students.
• Modern Teaching Pedagogies: AIT deploys a unique blend of classroom & non-classroom methods of teaching to deliver impactful teaching experience to the students.
• World Class Campus Facilities: AIT has developed state of the art infrastructure equipped with modern tools & facilities needed for delivering world class education.
• International Collaboration: AIT collaborates with Global Universities & other Organizations to provide AIT students with global exposure & experience in course areas.
• Events and Exposure: AIT provides ample opportunities for all students to participate and groom themselves through various technical and extra-curricular events and activities.
• Student Leadership: AIT has conceptualized many Clubs and Committees to allow students to develop their leadership skills and make the education experience enriching

Where should you do this

Indeed, at AIT-Management, Chandigarh University
Things which you will Love about us and the one we take pride in:

• We are Modern and Advanced in our Approach.
• Our Alumni are working at Premium Profiles in Top MNCs.
• Our Faculty are Industry Trained, Passionate about Teaching and Student Centric.
• We use more Practical’s and Workshops than long Lectures.
• We will Teach you as much in Labs as in Classrooms.
• Our Infrastructure and Facilities are World Class.
• We love Research and do it Rigorously.
• We are super responsive, flexible and adaptable to changing situations.
• We have a Big Goal: To make you Successful in your Career and Life.

• Industry Oriented Degree: Specialized graduation Program aimed at preparing students for data analytics and business profiles at leading MNCs.
• Globally Benchmarked Content: Exposes students to various data topics like data analysis, warehousing, visualization, and optimization for business scenarios so that they are able to extract business value by deploying various Business Analytics concepts
• Access to World Class Resources: With this program students shall get access to intellectual and human resources in this area, access to online forums for additional study material and will also get to know more about the field with industrial visits as well. It will also give access to various IBM online forums for additional study material and resources
• Industry Experienced Practitioners as Trainers: The faculty for this course come with a long industry experience in this field whom are in sync with needs and standards of different roles in industry
• Flexible Credit System: With this program students even get lot of flexibility to enrich their education experience through open electives, MOOCs courses, exchange programs, field studies & internships
• Internships, Project and workshop-based learning:Offers a very balanced program structure with enhanced components of internships, projects and hands-on skills.Allows students to know more about the data analytics field by organizing industrial visits to IBM and other industries
• Industry Certifications: Prepares and allows students to gain industry recognized certifications in advanced areas of technology and management

• Curious to applyfuturistic technologies and techniques of data handling , deriving out insights based on data, and come up with strategic decisions for the diverse set of industries.
• Fascinated by this trendy world of Business Analytics and are eager to take it further by Researching its application in domains not just limited to banking, aviation, automobile but much more like hospitality, health care and even inventory management
• Passionate about latest set of advancements and want to build In-depth Knowledge of data mining, data warehousing, data visualization and different type of analytics like predictive analytics, prescriptive analytics etc.
• Determined to leave a foot print by integrating the Business Analytics with other fields as Digital Marketing, , Data science, AI etc. and embark on Entrepreneurial journey of their own.
• Ambitious to place themselves at top class Global leadershippositions in world of Business Analytics, leading at technological as well as managerial front.

Industries benefited by Business Analytics:

• Banking
• Services
• Utilities
• Manufacturing
• Retail
• Healthcare
• Telecommunication
• Insurance

Industry demand of Business Analytics talent:

• The global Big Data and Business Analytics Market size is projected to grow at CAGR  of 14.80 (2019-2026) leading to  $512.04 Billion by-By Valuates Reports
• The average Business Analytics salary in India, is ₹ 1,100,000 per year-By India Today
• Most in demand Business Analytics Job Profiles – By Naukri.com
• Business Analytics Consultant , Financial Analyst, Market and research analyst, Human resource Analyst, Sales Analyst, Project Manager, Data warehouse Lead, Business Intelligence Analyst, Management Consultant

Interesting and ambitious Industry applications:

• Agriculture: With the help of Predictive analytics, one could assure the timely availability of crops, production and loss of crops, climate effect, quality and quantity of seeds, floods and draughts risk management.
• stock marketing:S By analyzing the variance in the market and updating the changing price or fluctuation in stock trends, business analytics can provide the price list of shares of an item and other relevant information to shareholders and there by help make flexible strategies and plans for future investment and earnings
• Manufacturing Industry:By integrating with advanced fields as IoT, business analytics as an application can tell the highest number of customers for a specific product or service, the product’s performance and much more.
• Finance Marketing: By utilizing various analytical techniques and approaches business analytics could help improve financially relevant issues such as fraud detection, risk mitigation, product pricing, marketing campaign optimization, financial planning, forecasting, etc.

The curriculum of this program is designed in such a way, thatfocus area would be to have students deep dive in fields of business analytics by training them in advanced topics of statistics, Python, data mining, data warehousing and even the advanced topics as Big data and Artificial Intelligence. The curriculum follows blended approach of theory as well aspractical via Labs, workshops, internships, training and projects.

• Business Analytics- IBM Watson Studio: The goal of this course is to provide students with deep know how of concepts of Business Analytics to be able to transform a business. This shall also make students understand the industry usage of Analytics as a disruptive agent.
• Statistical Analysis for Business Decisions: This course covers the basics of statistical analysis techniques along with quantitative components of a business degree. It also introduces descriptive and inferential as major topics so that students could apply statistics in business organization for better decision making.
• Data analytics with Python IBM: The course will explain the importance of Python and describe its need as a programming language by clarifying the basic concepts of Python. It will enable students to design, code, and test small Python programs.
• Database Management: The objective is to provide a comprehensive understanding of Database Management, enabling students to develop the necessary skills and knowledge to effectively design, implement, and manage databases in various organizational context with application of MySQL& MongoDB, Oracle 19C.
• Descriptive Analytics: The objective of this course is to cover the theoretical as well as practical hands-on exercises on Enterprise Reporting techniques using Cognos BI. Moreover, using Report Studio with the enhanced dash boarding capabilities, students will learn how to create and publish statement style reports using multidimensional data
• Predictive Analytics - IBM Watson: The Course aims to bring together advanced analytics capabilities and discover patterns in data. Predict what will happen with confidence.The course will introduce SPSS to the students. SPSS is software widely used in all kinds of research work used is Predictive Analytics
• Planning Analytics with TM1 Architect: The aim of teaching subject is to provide students with the knowledge and skills necessary to effectively use planning analytics techniques and tools in various business and organizational contexts.
• Advance Predictive Modelling: To equip students with advanced techniques and methodologies in Predictive Modelling, enabling them to effectively analyse complex datasets, develop accurate predictive models, and make data-driven decisions in diverse industries and domains.
• Multivariate Data Analysis IBM SPSS: Subject aims, the students should be able to understand and apply various multivariate data analysis techniques to real-world datasets, interpret the results accurately, and make informed decisions based on the analysis.
• Data visualization for managers:This course aims to equip students with necessary tools and techniques to make better visual representation of data in easy to understand and presentation friendly format. This should be able to use statistical techniques to analyze and develop insights for management basis the data available
• Big Data Technologies - IBM Big Insights:The objective is to teach students about Big Data and its importance in business world. It is focused on conceptualization and summarization of big data, trivial data versus big data and big data computing technologies.
• Business Applications of Artificial Intelligence : Business Application of Artificial Intelligence helps to understand the business and customer demands with the use of Artificial Intelligence tools with the use of IBM Watson. It helps to apply Machine learning and Natural language to understand Business requirements and enhancing features.