Professional UG in Artificial Intelligence & Data Sciences

Offered by
SSM International Academy
An Official Learning Centre of Wilmington Metropolitan University, California, USA

The Professional Undergraduate Program in Artificial Intelligence & Data Sciences is a future-focused, industry-aligned degree designed to develop experts capable of driving technological innovation across sectors. Delivered through SSM International Academy in collaboration with Wilmington Metropolitan University, California, the program blends academic rigor with professional, hands-on training.
Students gain strong foundations in computing, mathematics, data analytics, machine learning, and AI engineering, while also building practical competencies through real-world projects, internships, and industry collaborations. Through its international academic collaboration with Wilmington Metropolitan University, the program incorporates a globally benchmarked curriculum, modern digital learning tools, expert mentorship, and a strong focus on innovation, ethics, and future-ready competencies.

“ Join a World-Class Professional UG Program in AI & Data Sciences—Delivered by SSM International Academy. ”

Programme Overview

This comprehensive undergraduate program introduces learners to the core principles, tools and technologies shaping the AI and data-driven world. The curriculum covers programming, data structures, statistics, databases, machine learning, deep learning, big data technologies, and AI applications.
Students engage in applied research, capstone projects, case studies, and experiential learning, preparing them to solve complex problems and build intelligent solutions for modern industries.

Vision

To become a globally recognized centre of excellence in Artificial Intelligence and Data Sciences education, empowering learners to innovate, lead, and transform industries with ethical, impactful, and future-ready technological expertise.

Mission

  • To deliver high-quality, internationally benchmarked AI and Data Science education through advanced curriculum and world-class learning experiences.

  • To nurture critical thinkers, innovators, and problem-solvers equipped with strong technical and analytical skills.

  • To build industry-ready graduates by integrating practical training, real-world projects, and emerging technologies into the learning journey.

  • To promote ethical, responsible, and sustainable use of AI for societal advancement.

  • To support lifelong learning, global collaboration, and continuous professional growth.

Programm Objectives

  • Provide students with a solid foundation in computing, mathematics, and statistical modeling.

  • Develop proficiency in programming, data analysis, machine learning, and intelligent system design.

  • Equip learners with industry-relevant tools and platforms used in AI, data engineering, and big data ecosystems.

  • Foster innovation through hands-on projects, case studies, research, and industry engagements.

  • Strengthen problem-solving, communication, teamwork, and leadership skills for global careers.

  • Cultivate ethical awareness and responsible use of AI technologies.

Learning Outcomes

Upon successful completion of the program, graduates will be able to:

  • Apply core concepts of AI, machine learning, and data science to analyze and solve complex problems.

  • Design, develop and deploy intelligent systems and data-driven applications.

  • Use modern tools such as Python, R, TensorFlow, PyTorch, Hadoop, Spark, SQL/NoSQL, and cloud platforms.

  • Interpret and visualize data effectively to support decision-making.

  • Develop predictive models, neural networks, natural language processing systems, and deep learning solutions.

  • Demonstrate strong analytical, research, and innovation capabilities.

  • Collaborate effectively in multidisciplinary teams and communicate technical insights clearly.

  • Practice ethical, secure, and responsible AI development aligned with global standards.

Career Opportunities

Graduates of the Professional UG in AI & Data Sciences can build careers in a wide range of high-growth fields, including:

  • AI Engineer

  • Machine Learning Engineer

  • Data Scientist

  • Data Analyst / Business Analyst

  • Big Data Engineer / Architect

  • Deep Learning Specialist

  • NLP Engineer

  • Computer Vision Engineer

  • Business Intelligence Developer

  • AI Research Associate

  • Data Engineer

  • Cloud & DevOps Engineer (AI/ML Focus)

  • AI Product Developer / Consultant

The program also provides a strong foundation for postgraduate studies, research roles, international employment opportunities, and entrepreneurial ventures in emerging technology sectors.

Career Opportunities

Graduates of this programme are prepared for a variety of fast-growing roles such as:

  • Data Analyst

  • Junior Data Scientist

  • Machine Learning Technician

  • Business Intelligence Executive

  • AI Solutions Developer (Entry Level)

  • Data Engineering Support Specialist

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