Objectives of the Programme:

PEO 1: Graduates will design, build, and manage scalable data engineering systems and pipelines using modern tools and methodologies to address real-world data acquisition, storage, and processing challenges across sectors such as business, healthcare, finance, education, and digital services.
PEO 2: Graduates will apply machine learning, deep learning, and predictive modelling techniques to analyse complex datasets, generate actionable insights, and support data-driven decision-making, innovation, and digital transformation in their respective organizations.
PEO 3: Graduates will function as industry-ready practitioners who solve authentic problems through hands-on, practical approaches, continuously aligning their skills with current technological trends and industry requirements while contributing effectively in multidisciplinary teams.

Outcomes of the Programme:

The program aims to equip learners with practical skills required for professional roles in the domain of Data Engineering and Predictive Analytics. Upon completion of the diploma, participants will be capable of designing, developing, and managing data-driven systems, as well as applying predictive analytics techniques to support informed decision-making in organizational and industrial contexts.
Graduates will be able to:

• Develop and implement data pipelines and data processing systems for efficient collection, storage, and transformation of structured and unstructured data.
• Apply statistical and machine learning techniques to analyze data and build predictive models for real-world applications.
• Utilize data engineering tools, frameworks, and platforms (e.g., databases, big data technologies, and cloud environments) to design scalable and efficient data solutions.
• Perform data cleaning, integration, and feature engineering to prepare high-quality datasets for analysis and modeling.
• Design and develop data visualizations and dashboards to communicate insights effectively to stakeholders.
• Integrate data-driven solutions with existing information systems and support decision-making processes across various domains.
• Work effectively in teams and communicate analytical findings through technical reports, presentations, and demonstrations.
• Apply ethical considerations in data handling, including data privacy, security, governance, and responsible use of data in analytics and decision-making.

Programme Scheduling Format: Evening / Weekend

Minimum Entry Level:

Applicants must possess a minimum of 14 years of education with minimum 45% passing marks from an HEC recognize institution with relevant background.