Launch Blended Masters Curriculum

Phase 1: Blended Program (First 18 Months)

The first 18 months provide students with broad exposure to multiple disciplines, including AI, data science, cloud computing, coding, game design, leadership, startups, and web-mobile app development. This phase ensures a solid technical and leadership foundation across a wide range of fields.

Year 1: Advanced Coding + Cross-Disciplinary Learning (Months 1–12)

Months 1–6: Core Technical Skills and Foundational Learning

• LeetCode and Interview Preparation:

  • Weekly coding challenges focusing on interview-style problems from Google, Facebook, Tesla, and OpenAI.

  • Key topics: Advanced data structures, algorithms, dynamic programming, system design, and optimization.

  • Leadership focus: Leading technical teams and conducting technical interviews for startups.

• Blended Learning in AI, Cloud, and Data Science:

  • AI Foundations: Introduction to machine learning, deep learning, and AI ethics.

  • Cloud Computing: Basics of cloud platforms (AWS, GCP, Azure) and cloud architecture for scalable applications.

  • Data Science: Data wrangling, visualization, and basic predictive models using Python (Pandas, NumPy, Scikit-learn).

  • Real-world project: Build a machine learning model and deploy it on a cloud platform, with live data analytics and predictive insights.

• Blending with Leadership, Startups, and Game Design:

  • Leadership Basics: Emotional intelligence, team dynamics, and decision-making in tech environments.

  • Game Design: Core principles of game mechanics, storytelling, and player interaction.

  • Startup Ideation: Exploring the startup lifecycle, MVP development, and rapid prototyping.

  • Real-world project: Lead a small team to build an MVP for a tech-based product or game, incorporating customer feedback and iterative development.

Months 7–12: Full-Stack Development, Cloud, and Leadership

• Full-Stack Web and Mobile App Development:

  • Frontend: React, Angular, or Vue.js.

  • Backend: Node.js, Python (Flask, Django), and databases (SQL, NoSQL).

  • Mobile App Development: React Native, Flutter, and native development for iOS/Android.

  • Real-world project: Build a full-stack web or mobile app, integrating user authentication, cloud storage, and real-time data updates.

• Advanced Cloud and AI Integration:

  • Serverless architectures, event-driven computing, and deploying machine learning models at scale.

  • Real-world project: Build and deploy an AI-powered serverless application that processes real-time data, such as a chatbot or recommendation engine.

• Blending with Leadership and Virtual Reality:

  • Leadership in Innovation: Leading teams through innovation cycles, fostering creativity, and managing risk in product development.

  • Virtual Reality: Basics of VR/AR development, user experience design for immersive environments.

  • Real-world project: Develop a VR prototype that integrates AI-driven features, leading a small team through project planning and execution.

Year 2: Specialization in Blended Masters (Months 13–18)

Months 13–18: Specialization in Two Master’s Programs

Students choose two areas of specialization from any of the Master's programs (AI, Cloud, Data Science, Game Design, Virtual Reality, Leadership, Startups, Coding, or Web-Mobile Apps). The following are example tracks for blended specializations:

Blended Specialization Option 1: AI + Cloud Computing

• AI for Cloud-Driven Applications:

  • Advanced AI techniques: Neural networks, natural language processing (NLP), and reinforcement learning.

  • Deploying AI models on cloud platforms, scaling using Kubernetes and Docker.

  • Real-world project: Build a cloud-native AI system (e.g., a recommendation engine or chatbot) that can scale to millions of users, ensuring data security and performance optimization.

• Cloud-Native Microservices and Security:

  • Building microservices, using containers (Docker), and orchestration (Kubernetes).

  • Implementing security best practices: IAM, encryption, and threat detection for cloud-based applications.

  • Real-world project: Create a scalable cloud-native service with AI integration, focusing on real-time analytics and secure data handling.

Blended Specialization Option 2: Web-Mobile Apps + Startups

• Full-Stack Web-Mobile Development for Startups:

  • Advanced mobile and web app development: Cross-platform development, backend APIs, and real-time features.

  • Optimizing for user experience, mobile-first design, and scalable backends.

  • Real-world project: Build and launch a mobile-first web app for a startup, with real-time data integration and cloud storage.

• Startup Growth Hacking and Funding:

  • Growth strategies for startups: Customer acquisition, retention, and scaling using analytics.

  • Fundraising strategies: Crafting a pitch, investor relations, and securing venture capital.

  • Real-world project: Develop a startup product, create a funding pitch deck, and present it to mock investors, incorporating feedback to refine the product.

Blended Specialization Option 3: Leadership + AI

• Leading AI-Driven Teams:

  • Leadership strategies for managing AI and data science teams.

  • Ethical AI leadership: Managing bias, transparency, and ethical concerns in AI development.

  • Real-world project: Lead a team developing an AI-driven solution, ensuring ethical considerations, team collaboration, and real-time data integration.

• AI and Data Strategy in Leadership:

  • Implementing AI solutions at scale: Integrating AI with enterprise applications, predictive analytics, and decision-making.

  • Data-driven leadership: Using data insights for strategic planning, forecasting, and decision-making.

  • Real-world project: Lead an AI transformation initiative in a simulated enterprise, incorporating data insights to drive decision-making and organizational change.

Phase 2: Specialization and Real-World Applications (Months 19–36)

Months 19–30: Specialization in Blended Areas

Students deepen their expertise in the two chosen specialization areas. They will focus on large-scale projects, leadership in technical environments, and real-world applications of their knowledge.

Advanced Specialization Project Tracks:

• AI + Cloud:

  • Build an AI-driven cloud infrastructure capable of handling real-time data processing for a large enterprise or startup.

  • Real-world project: Develop a fully operational AI cloud solution with scalable infrastructure, addressing challenges such as latency, security, and real-time updates.

• Leadership + Startups:

  • Lead a tech startup from ideation to market entry, managing product development, fundraising, and team leadership.

  • Real-world project: Build and lead a startup, focusing on product-market fit, rapid prototyping, and securing seed funding.

• Web-Mobile Apps + Game Design:

  • Design and develop a mobile-first gaming application with real-time multiplayer capabilities, integrating cloud services and AI for enhanced gameplay.

  • Real-world project: Develop and launch a game or app to a live audience, integrating data analytics for user feedback and iteration.

Phase 3: 6-Month Live Project (Months 31–36)

Live Capstone Project (6 Months)

• Real-World Blended Project: Students work on a live project that incorporates both of their chosen specializations. This may involve launching a product, building a large-scale technical solution, or leading a startup initiative.

• Team Collaboration: Students lead teams, manage project execution, and deliver results in real-world business or technical environments.

• Project Examples:

  • Launching a cloud-native AI startup, integrating AI-driven analytics and scaling the infrastructure to handle live user traffic.

  • Leading the development and market launch of a web-mobile gaming platform, using cloud infrastructure and real-time multiplayer features.

  • Developing a large-scale AI transformation project within a simulated enterprise, driving data-driven decision-making and cloud-based automation.

• Project Phases:

  • Phase 1 (Months 31–32): Project planning, defining deliverables, and team setup.

  • Phase 2 (Months 33–34): Development, iteration, and user testing or customer feedback.

  • Phase 3 (Months 35–36): Final deployment, scaling, and presentation to stakeholders or investors.

Program Outcomes:

• Proficiency in blending two technical or leadership disciplines, ensuring the ability to integrate interdisciplinary knowledge in real-world settings.

• Mastery in technical development, leadership, or startup growth, depending on the chosen specialization areas.

• Hands-on experience with large-scale real-world projects, demonstrating the ability to lead, scale, and deliver impactful solutions.

• Completion of a live project, allowing students to showcase their ability to integrate and apply knowledge from two disciplines, preparing them for roles in leadership, startups, or technical innovation.