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.