Certificate Course
AI and Data Science for Marketing
Make Smarter Decisions with AI and Data science in marketing
"MSP Research Acedmy UK, offers the professional certificate course entitled "Ai and Data Science for Mareting" This Programme is designed for manegers, working professionals, and decision-makers who want to strengthen their data-driven leadership capabilities. The course blends advanced concepts like machine learning, AI algorithms, cognitive analytics, big data, and strategic decision-making, helping participants apply modern data science tools across real business functions. The 44-hour curriculum includes an introduction to Python, marketing analytics, supervised learning (classification, ensemble models, model tuning), and unsupervised learning. Learners gain hands-on experience with analytics tools, develop strong problem-solving skills, and build a powerful portfolio of data science projects applicable across industries.
By completing this course through MSP Research Acedmy UK, particiants will receive an official certificate which is a globally recognized academic credential that significantly enhances their professional profile. The curriculum, delivery structure, assessments, and academic quality follow international standards, ensuring that learners acquire practical and industry-relevant skills. MSP ensures seamless delivery, expert mentorship, doubt-clearing support, and a professionally managed learning environment—allowing participants to focus entirely on building future-ready capabilities in AI, machine learning, and data science. The programme will be delivered virtually from February 2026 to April 2026.
Teaching Staff: Prof. Arpita Agnihotri, USA and Dr. Saurabh Bhattacharya, UK"
Key Benefits of the course:
Outcomes & Competencies Developed
On completion of the module the successful student will be able to:
- Explain core concepts in Python, business analytics, and machine learning within professional business contexts.
- Apply analytical and machine learning techniques to real datasets reflecting marketing, management, and operational challenges.
- Analyze data patterns and model outputs to support informed and persuasive managerial decision-making.
Knowledge Competencies
At the end of the course, the successful student will have an understanding of:
- Python fundamentals for business analytics and data science workflows.
- The role of analytics and AI in professional decision-making across industries.
- Core supervised learning methods, including classification and ensemble modeling.
- Model optimization techniques (hyperparameter tuning, cross-validation).
- Unsupervised learning approaches for segmentation, pattern discovery, and strategic insights.
- Professional data preparation techniques for real-world messy datasets.
- How machine learning supports decision-making in marketing, management, HR, and operations.
- Ethical, strategic, and organizational considerations when implementing AI in business environments.
Key Features of the course:
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Duration
3 Months (Weekends) -
Hands-on Learning
Weekly assignments -
Learning Mode
Live online learning
Program Outline: AI & Data Science for Marketing
| Module |
|---|
| Introduction to Python – Basics & Setup (Synchronous Online Computing Cluster using Colab) |
| Python for Data Handling & Visualization (Lists, dicts, loops; Pandas / NumPy / plotting) |
| Introduction to Business Analytics (Descriptive / Predictive / Prescriptive Analytics + Data Exploration) |
| Supervised Learning Foundations (Regression / Classification concepts, model evaluation) |
| Classification Techniques (Logistic Regression, KNN, Decision Trees) |
| Ensemble Techniques (Random Forest, Gradient Boosting, Bagging / Boosting, Voting) |
| Model Tuning & Hyperparameter Optimization (Grid Search, CV, regularization) |
| Unsupervised Learning (Clustering, PCA, Dimensionality Reduction, Anomaly Detection) |
| Case Study & Data Analysis Project (Supervised + Unsupervised) |
| Capstone Project & Review (Virtual Presentation) |
Advanced AI & Data Science Skills for Marketing Professionals
At the end of this course, students should be able to:
- Write Python scripts that automate data tasks and support analytical problem solving.
- Prepare and preprocess real-world datasets for modeling and decision analysis.
- Build and evaluate classification and ensemble models relevant to workplace scenarios.
- Apply model tuning strategies to improve performance and professional reliability.
- Implement unsupervised learning for customer segmentation, market insights, and workforce analytics.
- Interpret model results and convert them into actionable recommendations for executives.
- Communicate technical insights to non-technical stakeholders using clear business language.
- Select appropriate analytical approaches to support professional decision-making and strategic initiatives.
Who Should Enrol in this AI & Data Science Skills for Marketing Programme
This programme is designed for marketing professionals who want to harness AI and data science methodologies to create impactful, data-driven marketing strategies. It equips participants to lead insight-driven initiatives, optimise customer engagement, and drive innovative, analytics-led marketing transformations.
Ideal for mid-to-senior level professionals, it is suited for those responsible for interpreting marketing data, leveraging AI tools, and applying data-science-based decision-making across digital, brand, and performance marketing functions. Participants will gain the expertise needed to lead AI-powered marketing projects with greater efficiency, accuracy, and impact.
Project Discussion and Presentations
The project will require participants to apply their learning from the programme to real-world marketing scenarios using AI and data science techniques. Participants will demonstrate their ability to use key concepts, tools, and frameworks to solve practical marketing challenges such as customer segmentation, campaign optimisation, predictive modelling, or content personalisation.
This hands-on project enables participants to integrate insights from various modules and translate them into actionable, data-driven marketing solutions, reinforcing both strategic understanding and practical application.
Programme Benefits
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Starts On:
February 3, 2025 -
Programme Fee:
800 USD -
Eligibility:
Must have studied Mathematics in high school (12th grade)
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
You can easily access this course Online anytime. However, students have the opportunity to attend one week at the end of this course at Pacific States University (PSU), USA 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.