IBM ICE Program Highlights
IBM Innovation Centre for Education (IBM ICE) is a ‘unique global initiative’ by IBM, to offer much needed applied information technology knowledge to graduating students, in various dominant and futuristic technology areas.
IBM ICE’s cutting-edge programs shall be delivered in collaboration with VIKRANT UNIVERSITY with IBM as the ‘Knowledge Partner for emerging technologies and VIKRANT UNIVERSITY acting as the Academic Partner.
IBM ICE Programs on Emerging Technologies are extremely intense and delivered face-to-face in conjunction with IBM’s futuristic online delivery platform- ‘Industry-Academia Collaboration Framework’. This novel approach ensures that deep applied knowledge is delivered to students through broad-based industry alignment & interactions, leading to talent discoverability & excellence in students’ professional makeup-thus helping them to be ‘industry & future ready’.
Even as technology changes to keep up with the needs of a changing world, Computer Science programs are often out-of-date, and in some cases, obsolete. Students thus need significant training after employment before they can be deployed and contribute to the employer business. IBM ICE provides cutting-tech technological knowledge and Industry-specific training, with a state-of-the-art delivery model and the students are provided with the requisite knowledge and skills to thrive in a constantly-changing landscape, allowing them to bring immediate value to their employer.
IBM Innovation Centre for Education (IBM ICE) is preparing the next generation of professionals with courseware redesigned from the ground up and a state-of-the-art delivery mechanism to allow students to learn industry-relevant skills through:
- Unique world-class in-depth learning content on emerging technologies.
- Strong emphasis on Project, Labs and Case Study based learning.
- Stress on Industry aligned Curriculum & continuous Industry interaction.
- The futuristic online delivery platform- ‘Industry-Academia Collaboration Framework’ encourages students to Learn, Collaborate and Discover.
- Student participation in Intra-college, inter-college and global competitions.
Courses Offered
The following IBM ICE programs shall be offered from the Academic Year 2025-26 onwards at VIKRANT UNIVERSITY:
School of Engineering and Technology:
- B.Tech. With specialization in AIML in Collaboration with IBM
School of Management & Commerce:
- BBA with specialization in Business Analytics in collaboration with IBM
- MBA with specialization in Business Analytics in collaboration with IBM
IBM ICE Programs on Emerging Technologies are extremely intense and delivered in a ‘unique manner’ and as per IBM’s Global Standards. The uniqueness & novelty of IBM’s approach ensures that deep applied knowledge is delivered to students through numerous ‘student-centric’ initiates, which not only help students in their talent discoverability but also brings out excellence in students’ professional makeup-thus helping them to be ‘industry &future ready’. Few of such unique and novel initiatives are:
- Curriculum: The curriculum of IBM ICE is meticulously designed in collaboration with IBM experts to ensure relevance and alignment with industry needs. It covers a wide range of topics in emerging technologies, providing students with comprehensive knowledge and skills.
- Teach the Trainer (T3): The T3 program involves intensive training for selected professors, conducted by IBM subject matter experts. Upon completion, professors are certified to deliver specific topics within the IBM ICE curriculum, ensuring high-quality instruction and student engagement.
- In-depth and applied courseware exclusively available to IBM students at VIKRANT UNIVERSITY:
- The applied courseware is created exclusively for IBM ICE Students by industry experts and with inputs from IBMers from all over the world.
- Vibrant Concurrency of Courseware.
- The courses will be reviewed and adjusted at the periodic intervals for their concurrency.
- In-depth training on in-demand cutting-edge technologies:
- Next Generation ecosystem learning platform for the Institution which will benefit faculties & Students enrolled for the IBM ICE Program (comprising of Projects and connect with Industry for Internships, Jobs) shall also be made available to the faculty and students of IBM ICE Academic Partner.
- Access to world class e-learning ecosystem:
- Next Generation ecosystem learning platform for the Institution which will benefit faculties & Students enrolled for the IBM ICE Program (comprising of Projects and connect with Industry for Internships, Jobs) shall also be made available to the faculty and students of IBM ICE Academic Partner.
- Project Based Learning (PBL):
- IBM ICE emphasizes project-based learning, enabling students to apply theoretical knowledge to real-world scenarios. Through hands-on projects, students develop practical skills and problem-solving abilities, preparing them for challenges in the industry.
- Subject Matter Experts Visits & Interaction:
- Visits to IBM ICE Academic Partner will be planned by IBM and Subject Matter Experts to VIKRANT UNIVERSITY, so that IBM ICR students can learn from their experiences and skills.
- There will be adequate interaction planned during these visits so that it becomes an interactive learning experience for the students.
- This shall be part of the IBM ICE’s futuristic online delivery framework –encouraging the concept of ‘Learn, Collaborate and Discover’
- A competitive edge over other candidates in Industry & better equipped during Interviews, Internships and International Contests:
- IBM shall organize IBM ICE Days where students learn to collaborate and compete through Technical Poster Competitions, Hackathons, Technical Paper Presentations and Project Presentations.
- These competitions are conducted for intra-college, inter-college & inter-country.
- Learning through collaboration and competition on IBM ICE Days.
- Globally Recognized Digital Badge for Students from IBM in addition to the Degree offered by VIKRANT UNIVERSITY:
- The coveted IBM Digital Badge directly issued by IBM directly to all graduating students.
- Availability of Mentors to IBM ICE Students at VIKRANT UNIVERSITY:
- Mentoring support to students for additional and expert knowledge.
- Industry Updates:
- Timely updates from industry mentors and from IBM’s experts shall be made available to IBM ICE students of VIKRANT UNIVERSITY.
- Online / Offline Discussions Forums:
- The learning will be further enhanced by providing adequately structured discussion forums against relevant topics / subjects.
- Quality Management Systems & Practices:
- IBM shall constantly monitor and advise in implementing global best practices at VIKRANT UNIVERSITY to ensure that the best value of learning delivered to the students.
- IBM ICE Day: IBM ICE Day is an annual event that showcases student projects, innovations, and achievements. It provides a platform for students to interact with industry professionals, gain insights, and network for future opportunities.
- Internships: IBM ICE facilitates internships with leading companies in the industry, allowing students to gain practical experience and exposure to real-world projects. Internships provide valuable insights into industry practices and enhance students’ employability.
- Industry Exposure: Through collaborations and partnerships with industry leaders, IBM ICE offers students exposure to the latest trends, technologies, and best practices in the IT industry. Guest lectures, seminars, and industry visits enrich students’ learning experiences and broaden their perspectives.
To join IBM ICE Programs the student needs to have the pre-requisite qualification for the specific IBM ICE Program. Program wise pre-requisites for joining IBM ICE Programs being offered in collaboration with VIKRANT UNIVERSITY are as follows:
School of Engineering and Technology:
- B.Tech. With specialization in AIML in Collaboration with IBM
School of Management & Commerce:
- BBA with specialization in Business Analytics in collaboration with IBM
- MBA with specialization in Business Analytics in collaboration with IBM
Course Outline
1. B.Tech in Artificial Intelligence & Machine Learning (AI/ML)
Duration: 4 years / 8 Semester
Type: Integrated
Topics Covered:
- Python Programming
- Design Thinking and Innovation
- AI and ML Essentials
- AI and ML in Practice: Real-World Case Studies
- Machine Learning Engineering
- Deep Learning
- Advanced Algorithms for Intelligent Systems and Robotics
- Natural Language Processing
- Anomaly Detection and Outlier Analysis
- Applied Large Language Model Development and Deployment
2. BBA / MBA in Business Analytics
Duration : 3 Years / 2 Years
Type : Integrated
Topics covered:
- Python Fundamentals
- Generative AI and Prompt Engineering
- Introduction to Data Analytics using Excel
- Descriptive Analytics and Business Intelligence
- Predictive and Advanced Analytics
- Analytics for Banking, Retail, Healthcare, Manufacturing, Finance, HR, Marketing & Supply Chain
Career Avenues
For Artificial Intelligence and Machine Learning
- Machine Learning Engineer: Develops and deploys machine learning models to solve complex problems.
- Artificial Intelligence Engineer: Designs, builds, and maintains AI systems and applications.
- Data Scientist: Uses statistical analysis and machine learning techniques to extract knowledge and insights from data.Top of Form
- Business Intelligence Analyst: Transforms data into actionable insights to guide strategic business decisions.
- Natural Language Processing (NLP) Engineer: Develops algorithms and models to process and understand human language.
- Computer Vision Engineer: Develops algorithms and systems for interpreting and analyzing visual data.
- AI Researcher: Conducts research to advance the field of artificial intelligence.
- Deep Learning Engineer: Develops and implements deep learning algorithms and architectures.
- AI Consultant: Provides expertise and guidance on AI strategy, implementation, and optimization.
- Data Engineer: Designs and maintains data pipelines and infrastructure for large-scale data processing.
- AI Product Manager: Leads the development and management of AI-powered products and services.
For Data Analytics / Data Scientist
- Data Analyst: Analyzes data to extract insights and inform business decisions. Responsibilities include data cleaning, visualization, and interpretation to support organizational goals.
- Business Intelligence Analyst: Collects, analyzes, and interprets data to provide actionable insights for business stakeholders. Creates reports, dashboards, and visualizations to facilitate data-driven decision-making.
- Data Scientist: Utilizes statistical analysis and machine learning techniques to extract valuable insights from data, solve complex problems, and support data-driven decision-making processes.
- Quantitative Analyst: Applies mathematical and statistical methods to analyze financial data and develop quantitative models for trading, risk management, and investment strategies.
- Predictive Analyst: Develops predictive models and forecasting techniques to anticipate future trends and outcomes. Utilizes statistical methods and machine learning algorithms to derive actionable insights from data.
- Business Analyst: Acts as a liaison between business stakeholders and technical teams, translating business requirements into technical solutions and ensuring alignment with organizational objectives.
- Market Research Analyst: Conducts research to gather and analyze data on market trends, consumer behavior, and competitor strategies, providing valuable insights to support marketing and business strategies.
- Risk Analyst: Evaluates and quantifies risks associated with financial transactions, investments, or business operations, helping organizations make informed decisions to manage and mitigate risks effectively.
- Marketing Analyst: Analyzes marketing data to measure the effectiveness of marketing campaigns, identify target audiences, and optimize marketing strategies to drive customer engagement and business growth.
- Supply Chain Analyst: Manages and analyzes supply chain data to optimize inventory levels, streamline logistics, and reduce costs, ensuring smooth operations and timely delivery of products or services.
IBM Digital Badge
