Best Data Science College in Association with IBM in 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

• 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.

• Technology Centered Degree: This program will make the students confident in working on Big Data Analytics technologies and become industry ready.
• Globally Benchmarked Content: This program provides enhanced curriculum and practice benchmarked with global standards of start-up Eco System
• Access to World Class Resources: With this program students shall get access to intellectual and human resources in the area of these technologies
• Industry Experienced Practitioners as Trainers: The faculty for this course come with a long industry experience in these technologies 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
• Project and workshop-based learning: With the program students would be working on Projects in their third and final year and would also be exposed to various workshops, guest lectures and even hackathons

The Course is for individuals who …. are

• Curious to Apply this advanced Big Data Analytics in diverse set of fields like Banking and Securities, Healthcare, Utilities and even Education.
• Fascinated by this trendy world of Big Data and are eager to take it further by Researching its application in domains not just limited to banking, healthcare, electoral system but much more like music industry and even the manufacturing.
• Passionate about latest set of technologies and want to build In-depth Knowledge of Big data technologies like Hadoop, Spark, Scala etc.
• Determined to leave a foot print by integrating the Big Data Analytics technology with other technologies like IoT, Artificial Intelligence and embark on Entrepreneurial journey of their own.
• Ambitious to place themselves at top class Global leadership positions in world of Big Data Analytics technology, leading at technological as well as managerial front.

Industry sectors needing Big Data Analytics:

• Retail Banking
• Healthcare Industry
• E-Commerce
• Web analytics
• Financial Institutions
• Pharmaceuticals
• Education
• Insurance

Industry demand of Big Data 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
• Average salary in this field for 1-4 years of experience is 6 Lakh INR annually -By Upgrade
• Most in demand Big Data Analytics Job Profiles – By Naukri.com
• Big Data Analytics Developers, Big Data Analytics QA Engineer, Big Data Analytics Project Manager, Big Data Analytics Engineer, Business and Integration Architect, Big Data Analytics Lead, Big Data Analytics Solution Architect

Interesting and ambitious Industry applications:

• Travel & Tourism: Big data has been helping Travel and Tourism industry to forecast requirements of travel facilities and even improving the business with the help of dynamic pricing and various other analytics.
• Healthcare: With the help of Predictive analytics, Big data has helped doctors and medical professionals to be able to produce healthcare personalization.
• Telecommunication & Media: Huge amount of data which is generated by Telecommunication and Media industry could range in Zettabytes and could be best handled by Big data analytics to extract out useful information.
• E-Commerce: Big data has helped E-Commerce giants like Amazon to get customer insights and thereby improving marketing ideas, improving how to manage transactions and even better supply chain strategies.
• Social Media: Social Media websites like Facebook and Twitter generates Terabytes of data, which could be processed only by Big Data technologies to extract useful insights and make strategic business decisions.

The curriculum of this program is designed in such a way that students are exposed to the fundamentals of Big data analytics, Business Intelligence, Descriptive Analytics, Big data engineering and have working knowledge of the emerging Big data technologies. The curriculum follows blended approach of theory as well as practical via Labs, workshops, training and projects.

Key Highlights of Learning Process

• Extensive Programming Training
• Hackathons
• Group Tasks & Assignments
• Industry Guest Speakers
• Research Assignments
• Internships and Training
• Programming Competitions
• Simulation Exercises
• Case Discussion Methods
• Workshops and Seminars
• Industrial Visits & Trips
• MOOCS

• Introduction to Big Data Analytics:The course gives an overview of Big data analytics technologies and methodologies which could help extract out information from huge amount of Big data which is even unstructured
• Business Intelligence:The course introduces students about how business intelligence technologies can support decision making across any number of business sectors in terms of corporate strategy, performance and even competitiveness.
• Descriptive AnalyticsIn this course, students will be provided an overview of key areas of descriptive analytics, customer analytics, prescriptive analytics, predictive analytics and their application to real-world business practices
• Predictive Analytics:The course begins with the introduction of data mining which is widely utilized in all applications. The students are then introduced to CRISP data mining steps and its applications in real life. The course further emphasizes on the concept of various data mining models, predictive analytics, and the process to create predictive model. Then the students are introduced to real time predictive models
• Big Data Engineering:The course begins with the introduction the Big data SQL which is widely utilized in all engineering applications. The students are then introduced to HDP. Then the students are introduced optimization technique with the help of stream computing
• Data Mining and Warehousing:This course introduces the principles, basic concepts and applications of data mining. The course is a study of algorithms which helps in discovering patterns in large data-sets. The mining or discovering is done to provide benefits to modern businesses.
• Big Data Architecture & Core Technologies:This course is an advanced course for Big Data Analytics Program that will enable student to understand the functionality and the implementation of the Big Data Tools and there working.
• Predictive Analytics Modelling:The course begins with the introduction of data mining which is widely utilized in all applications. The students are then introduced to CRISP data mining steps and its applications in real life. The course further emphasizes on the concept of various data mining models, predictive analytics, and the process to create predictive model. Then the students are introduced to real time predictive models.
• Planning Analytics:The course begins with the introduction of Performance Management which is widely utilized in all organizations. The students are then introduced to TM1 its applications in real life. The course further emphasizes on the concept of Planning Analytics.