Big Data Program content
The postgraduate program in Big Data at TBS Education employs a comprehensive and hands-on methodology to equip students with the critical skills needed to excel in the field of data science and analytics.
The curriculum is designed to blend theoretical knowledge with practical application, ensuring that students not only understand the core concepts but also learn how to implement them in real-world scenarios.
Through a combination of lectures, case studies, practical exercises, and project-based learning, students engage deeply with the topics. This immersive approach allows students to work on real-world problems, applying the latest tools and techniques to solve complex data challenges.
Students will gain a robust skill set that includes the ability to analyse large datasets, develop and evaluate machine learning models, and leverage cloud-based tools for scalable data analytics. They will also learn to navigate the ethical and legal complexities of big data, ensuring responsible and compliant data management practices.
By the end of the program, graduates will be adept at using advanced analytics techniques to drive business innovation, create data-driven strategies, and transform organizations into data-centric entities. This methodological approach ensures that students are well-prepared to meet the demands of the rapidly evolving data landscape and contribute effectively to their organizations.
Academic content
Module 1: Big Data & Society
This Module provides you a foundational understanding of the impact and applications of big data in society, addressing both the opportunities and challenges it presents. You will explore ethical, legal, and societal implications of data science and analytics.
- Introduction to Big Data (24 hours total)
- Social and Ethical Implications of Big Data (50 hours)
- Legal Implications of Big Data (50 hours)
Module 2: Data Science and Machine Learning
This Module delves into the technical aspects of data science and machine learning, providing you hands-on experience with tools and techniques essential for analysing and interpreting large datasets.
- Machine Learning for Data Science (14 hours)
- Cloud-Based Tools for Data Analytics (32 hours)
- Social Media Analytics (18 hours)
- Data Visualization (50 hours)
- Social Data Analysis and Real-Time Data Mining (22 hours)
- Python for Business Analytics Applications (50 hours)
Module 3: Business Analytics
This module emphasizes the strategic use of big data to drive business value, focusing on digital transformation, business models, and practical applications of analytics in a business context.
- Digital Transformation and Business Analytics (15 hours)
- SQL and Relational Databases for Data Science (35 hours)
- Business Architecture (24 hours)
- Digital Data Streams & Business Models & Value Creation (20 hours)
- Data Auditing in the Context of Big Data (24 hours)
This detailed outline provides a comprehensive view of the academic content, focusing on key areas, practical applications, and the necessary class hours for each component.
Career opportunites
Upon completing the postgraduate program in Big Data at TBS Education, you can pursue a wide range of career opportunities. These roles span various industries such as technology, finance, healthcare, retail, and more, leveraging the advanced data skills and strategic insights gained from the program.
- Data Scientist
- Data Analyst
- Business Intelligence Analyst
- Machine Learning Engineer
- Big Data Engineer
- Data Architect
- Data Consultant
- Business Analytics Manager
- Data Governance Specialist
- Artificial Intelligence Specialist
- Cloud Solutions Architect
- Social Media Analyst
- Data Visualization Specialist
- Digital Transformation Consultant
- Compliance and Data Protection Officer
Qualification obtained
Upon completing the program, students will obtain a Postgraduate in Big Data certificate, awarded by TBS Education. This diploma confirms the successful completion of learning targets and the mastery of competencies in this area.
