Advance Program In Stem Career: Data Science & Engineering

Integrated exploration of careers in Science, Technology, Engineering, and Mathematics (STEM)

What you'll learn

Identify diverse STEM career opportunities and roles.

Apply core engineering and data science principles to real-world challenges.

Work with data collection, analysis, visualization, and machine learning tools

Utilize modern engineering and technology platforms effectively.

Understand ethical, sustainable, and responsible practices in STEM fields.

Build a career portfolio and professional growth plan.

Requirements

Basic understanding of English

Science or Tech background at high school level

Description

Course Description:This course offers an integrated exploration of careers in Science, Technology, Engineering, and Mathematics (STEM), with a focus on two high-impact domains—Data Science and Engineering. It equips learners with a solid understanding of foundational STEM principles, applied technologies, problem-solving skills, and ethical considerations. Through hands-on projects, case studies, and industry insights, students will learn how to navigate emerging opportunities, use modern tools, and prepare for professional success in today’s tech-driven world.In a world driven by innovation, STEM careers are at the forefront of shaping industries, solving global challenges, and driving technological progress. This comprehensive career-oriented course bridges two of the most influential STEM disciplines—Data Science and Engineering—to provide learners with a competitive advantage in the job market and the skills to succeed in the 21st century.The course takes you on a journey through core scientific principles, modern computational tools, and engineering problem-solving methodologies, while also deep-diving into data analysis, machine learning, and big data applications. It’s not just about theory—learners will engage in hands-on projects, real-world case studies, and interactive labs to apply their knowledge in practical contexts.From understanding how a mechanical design comes to life, to predicting data-driven business decisions, to building sustainable and ethical solutions for society, this program integrates technical expertise, analytical thinking, and creative problem-solving.By blending career exploration with technical mastery, the course also provides personalized career guidance, portfolio-building support, and professional networking strategies to help learners step confidently into a STEM role—or advance within their current field.Whether you aspire to become a data scientist, software engineer, mechanical engineer, AI specialist, systems designer, or an innovator in Industry 4.0, this course equips you with the interdisciplinary skills and mindset needed to thrive in rapidly changing technology landscapes.Why This Course is Unique· Dual-Discipline Approach – Learn Data Science and Engineering in one program for cross-functional skillsets.· Career-Focused Learning – Insights into real-world STEM careers, industry demands, and future trends.· Hands-On Projects – Apply concepts through integrated engineering + data science projects.· Future-Proof Skills – Gain expertise in emerging technologies like IoT, AI, Cloud Computing, and Sustainable Engineering.· Professional Development – Build a portfolio, practice interview techniques, and plan your career growth.Career Opportunities After CompletionGraduates of this course will be prepared for roles such as:· Data Analyst / Junior Data Scientist· Machine Learning Engineer· Business Intelligence Analyst· Mechanical / Electrical / Civil Engineer (with data skills)· IoT Solutions Developer· Industry 4.0 Process Engineer· Sustainability Consultant (Engineering & Data focus)Profile MappingData ScienceCourse Description:This course offers a comprehensive overview of careers in data science, exploring key roles, essential skills, and pathways in this rapidly evolving field. Students will gain insights into data analysis, machine learning, data visualization, and the ethical considerations of working with data.· Module 1: Overview of Data Science Careers· Module 2: Data Collection and Management· Module 3: Data Analysis and Statistical Methods· Module 4: Machine Learning Fundamentals· Module 5: Data Visualization Techniques· Module 6: Big Data Technologies· Module 7: Career Preparation and Growth in Data ScienceEngineeringCourse Description:This course provides a comprehensive overview of careers in engineering, covering various disciplines, fundamental skills, and pathways within the profession. Students will gain insights into core engineering concepts, hands-on project development, and the role of innovation in solving real-world challenges.· Module 1: Overview of Engineering Careers· Module 2: Core Engineering Principles· Module 3: Engineering Design and Project Development· Module 4: Specialized Engineering Fields and Applications· Module 5: Sustainable Engineering and Ethics· Module 6: Data, Technology, and Modern Engineering Tools· Module 7: Career Development in Engineering

Overview

Section 1: Data Science

Lecture 1 Introduction

Lecture 2 Module 1: Overview of Data Science Careers

Lecture 3 Module 2: Data Collection and Management

Lecture 4 Module 3: Data Analysis and Statistical Methods

Lecture 5 Module 4: Machine Learning Fundamentals

Lecture 6 Module 5: Data Visualization Techniques

Lecture 7 Module 6: Big Data Technologies

Lecture 8 Module 8: Career Preparation and Growth in Data Science

Section 2: Engineering

Lecture 9 Intro

Lecture 10 Module 1: Overview of Engineering Careers

Lecture 11 Module 2: Core Engineering Principles

Lecture 12 Module 3: Engineering Design and Project Development

Lecture 13 Module 4: Specialized Engineering Fields and Applications

Lecture 14 Module 5: Sustainable Engineering and Ethics

Lecture 15 Module 6: Data, Technology, and Modern Engineering Tools

Lecture 16 Module 7: Career Development in Engineering

Students exploring STEM career options,Early-career professionals seeking skill alignment,Individuals interested in cross-disciplinary STEM skills,Educators and career counselors