Specifications

Qualification title: EduExcell Level 4 & 5 Diploma in Data Science
Qualification type: Data Science BASED ON THE CREDIT SYSTEM
Level: 4 & 5
Accreditation status: Accredited
Credit Equivalency: 240 Credits
Qualification number: 701/1923/4
TOTAL LEARNING HOURS: 2400 Hours
GUIDED LEARNING HOURS : 960 Hours
Availability: UK and international
Course Brochure: Download Brochure

Qualification Overview

This course explores emerging cybersecurity threats across various sectors, including education, business, banking, and finance. Learners analyze risk factors, attack methodologies, and the prevalence of cybercrime in different sectors, gaining insights into potential threats and vulnerabilities. The unit delves into the role of artificial intelligence (AI) in preventing cyberattacks, addressing how machine learning can be implemented for cybersecurity. Measures for protecting against cyberattacks are explored, and learners gain a foundational understanding of implementing AI and ML for cybersecurity. Additionally, the course covers cybercrime investigation and forensics, examining the risk factors involved in crime investigations and how cybercrime manifests across sectors. Learners gain knowledge in developing applications for cybersecurity as part of this unit, enhancing their comprehension of cybercrime investigations, forensics, and application development.


Units

S.No. Unit Code Unit Title Unit Specification Credits
1 I/719/2021 Foundations of Data Management Essential unit 20
2 I/719/2022 Data Management in Machine Learning Workflow Essential unit 20
3 I/719/2023 Distributed Data Processing and Machine Learning Experimentation Essential unit 20
4 I/719/2024 Data Privacy and anonymity Essential unit 20
5 I/719/2025 Streaming Data Systems Architecture Essential unit 20
6 I/719/2026 Streaming Data Frameworks Essential unit 20
7 I/719/2027 Data Pipelines and Data Models Essential unit 20
8 I/719/2028 Kafka Fundamentals and Programming Essential unit 20
9 I/719/2029 Advanced Streaming Applications Essential unit 20
10 I/719/2030 Streaming Analytics with Cloud Essential unit 20
11 I/719/2031 Systems for Data Analytics Essential unit 20
12 I/719/2032 Storytelling with Data and Ethics for Data Science Essential unit 20


Learning Outcomes

  • Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
  • Problem analysis Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
  • Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.
  • Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions Manage Construction Projects for Planning, Analyzing, Costing, Scheduling, Predicting and complete within the stipulated period and fund.
  • Modern tool usage Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations
  • Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
  • Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development, Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
  • Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design 2 | P a g e documentation, make effective presentations, and give and receive clear instructions.
  • Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments
  • Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change

Entry Requirements

  • Learners who possess Qualifications at Level 2 and/or;
  • Learners who have work experience in a business environment and demonstrate ambition with clear career goals;
  • Learners who possess a level 3 qualification in another discipline and want to develop their careers in business management.