STEM Career Acceleration Program

AI for Business & Management

Artificial intelligence (AI) have revolutionised how we understand and use data. Diploma in AI & Data Science is a specialized program designed to provide students with foundational and advanced knowledge in artificial intelligence (AI) and data science. The programme covers key concepts such as machine learning, deep learning, data analytics, programming, and big data technologies. We created the Diploma in AI & Data Science with several high-profile industry leaders. It brings together students and industry practitioners to develop and translate new technologies into industry practice

Learn business applications of Artificial Intelligence and develop skills for its deployment for management of business processes with hands-on exploration through case studies!

  • Hybrid Program: Diploma completion certificate from Pacific State University, Los Angeles, USA
  • Hybrid Program: Graduation ceremony at Pacific State University, Los Angeles, USA
  • Online Program: Diploma completion certificate from Pacific State University, Los Angeles, USA
  • Online Modular Participation: Certificate from MSP Research Academy UK and Pacific State University, Los Angeles, USA
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Key skills and competencies gained

Upon completion, participants will gain the following skills:

  • Programming Proficiency – Python, R, SQL, and NoSQL databases
  • Machine Learning & AI – Supervised & unsupervised learning, neural networks
  • Deep Learning & NLP – TensorFlow, PyTorch, natural language processing
  • Data Analytics & Visualization – Pandas, NumPy, Matplotlib, Power BI
  • Predictive Modelling – Developing AI-driven solutions for real-world problems
  • Optimization Techniques – Improving algorithm efficiency and accuracy

  • Next cohort starts

    April 2025

  • Program Duration

    9 months

  • Learning Format

    Live, Online and interactive

  • Admission closes

    23 Mar, 2025

Programme modules

The Business Analytics module focuses on using data-driven techniques to analyze business performance and support decision-making. It covers key concepts such as data visualization, statistical analysis, predictive modelling, and business intelligence tools. Students learn how to extract insights from large datasets, identify trends, and apply machine learning techniques to solve business problems. The module also explores real-world applications in marketing, finance, operations, and customer analytics, equipping learners with the skills to make data-informed strategic decisions.

The AI for Business module focuses on the practical applications of artificial intelligence in transforming business operations and decision-making. It covers key AI technologies such as machine learning, natural language processing (NLP), automation, and predictive analytics. Students learn how AI enhances customer experience, optimizes supply chains, and drives data-driven strategies in industries like finance, healthcare, marketing, and retail. The module also explores ethical considerations, AI adoption challenges, and best practices for implementing AI solutions in a business environment.

Machine Learning for Business is a module that explores how machine learning techniques can be applied to solve real-world business problems. It covers key concepts such as predictive analytics, data-driven decision-making, customer segmentation, and demand forecasting. The module introduces various machine learning models, including regression, classification, clustering, and recommendation systems, with a focus on practical applications in marketing, finance, operations, and strategy. Emphasis is placed on interpreting model results, ethical considerations, and integrating machine learning insights into business processes to drive innovation and efficiency.

Blockchain Technology is a module that explores the fundamentals, applications, and impact of blockchain in various industries. It covers key concepts such as decentralized ledgers, cryptographic security, smart contracts, consensus mechanisms, and tokenization. The module examines how blockchain enhances transparency, security, and efficiency in sectors like finance, supply chain, healthcare, and governance. Practical use cases, challenges, and emerging trends are discussed, along with an introduction to cryptocurrencies and decentralized finance (DeFi). Emphasis is placed on understanding blockchain’s potential for innovation and its role in shaping the future of digital transactions.

Project in Data Science is a hands-on module that allows students to apply data science techniques to solve real-world problems. It involves the complete data science lifecycle, including data collection, cleaning, exploration, modelling, and interpretation. Students work with machine learning algorithms, statistical analysis, and data visualization tools to derive meaningful insights. The module emphasizes problem-solving, critical thinking, and communication of results through reports and presentations. By working on a practical project, students gain experience in handling real datasets, implementing data-driven solutions, and making informed business or research decisions.

Programme Benefits

Flexibility and convenience

Access from anywhere and learn at your own pace

Cost effective

Low cost with free or affordable learning resources

Access to industry experts

Learn from the best with real-world case studies

Personalised learning experience

Tailored courses to your individual needs with adaptive learning paths

Hands on experience

practical projects and access to tools and platforms

Networking opportunities

Connect with global community of peers and instructors

Frequently asked questions

A Diploma in AI and Data Science is a smart choice for those seeking a fast-track entry into a high-demand, well-paying tech field. With industries increasingly relying on AI and data-driven decisions, skilled professionals in machine learning and analytics are highly sought after. This diploma provides hands-on, practical training in programming, data processing, and AI model development. Unlike traditional degrees, it offers a short yet impactful path to industry-relevant expertise, making it ideal for students and professionals looking to upskill. With flexible learning options, it enhances career opportunities in roles like Data Scientist, AI Engineer, and Machine Learning Specialist while future-proofing your skillset.

  • Students interested in AI and data science careers
  • IT professionals looking to upskill
  • Business analysts seeking data-driven decision-making skills

After successful completion of all the modules, you will receive a Diploma certificate.

You can easily access this course Online from anywhere, anytime. However, students have the opportunity to attend one week at the end of this course at SPU before their graduation.

Joint MSP-SPU Courses are truly based on the ‘Applied Learning’ approach, offering the course teachings via self-paced videos, live remote classes, hands-on projects, and labs. Furthermore, students get the access to mentorship sessions that help them to engage better and have real-world experience.

A Diploma in AI and Data Science opens doors to numerous career opportunities in the rapidly growing tech industry. Graduates can pursue roles such as Data Scientist, Machine Learning Engineer, AI Engineer, and Data Analyst, where they analyze data, develop AI models, and create intelligent solutions for businesses. Opportunities also exist in specialized fields like Computer Vision, Natural Language Processing (NLP), and Big Data Engineering, catering to industries such as healthcare, finance, and e-commerce. With AI-driven innovation transforming businesses worldwide, professionals with expertise in AI and data science are in high demand, offering lucrative salaries and strong career growth potential.

No, you need not take any English proficiency exam for enrolling in this diploma program.