Data Science & Data Engineering
Professional Diploma Program
Duration: 12 Months
Study Mode: Live Online | On-Campus | Hybrid Learning
Delivery: Live Instructor-Led Classes | Hands-On Cloud Labs | AWS Simulations | DevOps Projects | Capstone Project
Program Overview
Data has become one of the most valuable assets in today’s digital economy. Organizations across healthcare, finance, retail, manufacturing, government, and technology rely on data professionals to collect, organize, analyze, and transform data into meaningful business insights.
The Data Science & Data Engineering Professional Diploma program at Texas Business School prepares students with the practical knowledge and technical skills required to work with modern data systems. Students learn how to collect, clean, analyze, visualize, and manage data while developing practical experience with machine learning, cloud data platforms, ETL pipelines, and business intelligence tools.
Throughout the program, students work on real-world datasets, industry projects, and hands-on laboratory exercises using technologies such as Python, SQL, Power BI, Databricks, AWS, Azure, and modern data engineering tools.
Graduates leave with practical experience that prepares them for careers in data analytics, business intelligence, cloud data engineering, and data operations.
Why Study This Program?
Learn by Doing
Develop practical skills through instructor-led training, guided laboratories, industry projects, and hands-on exercises that mirror real workplace scenarios.
Master Modern Data Technologies
Gain experience using Python, SQL, Power BI, Databricks, AWS, Azure, Git, and other tools widely used by today’s data professionals.
Build End-to-End Data Skills
Learn the complete data lifecycle—from data collection and preparation to visualization, machine learning, cloud deployment, and data engineering.
Industry-Focused Curriculum
Study a workforce-aligned curriculum designed to develop practical skills employers expect in data analytics and cloud data environments.
Complete a Professional Capstone Project
Apply everything you’ve learned by designing and implementing a real-world data solution that demonstrates your technical and analytical abilities.
Program Objectives
The Data Science & Data Engineering Professional Diploma Program is designed to prepare students with the technical knowledge and practical experience required to work with modern data systems. Students develop skills in programming, database management, analytics, machine learning, cloud platforms, and data engineering while learning how to transform raw data into meaningful business intelligence that supports organizational decision-making.
Program Learning Outcomes
Upon successful completion of the program, graduates will be able to:
- Collect, clean, transform, and analyze structured datasets.
- Develop data solutions using Python and SQL.
- Build dashboards and business intelligence reports.
- Apply machine learning techniques to solve business problems.
- Design and manage cloud-based data pipelines and ETL workflows.
- Complete an end-to-end data engineering project using industry-standard technologies.
Semester 1: Foundation & Core Data Skills
Students begin with the core technical foundations required for data science and analytics, including:
Core Areas Include:
- Data Science Foundations
- Python Programming
- Git & GitHub
- Statistics & Probability
- Data Cleaning & Preprocessing
- Data Analysis with Python
- SQL & Database Systems
- Business Intelligence & Data Visualization
- Machine Learning Fundamentals
Semester 2: Advanced Data Engineering & Cloud Systems
The second semester focuses on enterprise-level data engineering and cloud technologies, including:
- Advanced Machine Learning
- MLOps & Model Deployment
- Applied Data Science Projects
- ETL Pipelines
- Big Data Processing with Spark & Databricks
- Workflow Automation
- AWS & Azure Data Platforms
- Data Warehousing
- Industry Capstone Project
Career Opportunities
Graduates of this program develop practical skills that support careers in data analytics, business intelligence, cloud data engineering, and enterprise data management. Career opportunities include Data Analyst, Junior Data Engineer, Business Intelligence Analyst, Data Operations Specialist, ETL Developer, Cloud Data Support Engineer, Reporting Analyst, Machine Learning Support Specialist, and Database Support Analyst. The program also provides a strong pathway into advanced studies in Data Science, Artificial Intelligence, Machine Learning, and Cloud Analytics.
Admission Requirements
Applicants should possess a High School Diploma (or equivalent) or meet the applicable higher education admission requirements for their chosen program. Basic computer literacy is recommended. International applicants may be required to provide additional documentation in accordance with institutional and regulatory requirements.
Tuition & Study Options
Program Duration
12 Months (Professional Diploma Program)
Study Modes
Live Online • On-Campus • Hybrid Learning
Credential Awarded
Instructor-Led Classes • Practical Audit Labs • Risk Simulations • Capstone Project
Academic Award
Professional Certificate with Academic Transcript upon successful completion.
Tuition
Contact Admissions for current tuition, payment plans, scholarships, and available financing options.
Ready to Build Your Career in Data Science & Data Engineering?
The demand for skilled data professionals continues to grow across every industry. Whether your goal is to become a Data Analyst, Data Engineer, Business Intelligence Specialist, or continue into advanced Artificial Intelligence and Machine Learning studies, this program provides the practical knowledge, hands-on experience, and industry-relevant skills to help you succeed.
NEWS & EVENTS
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