Module Catalogue 2024/25

MAR8183 : Commercial Awareness and Data Analytics

MAR8183 : Commercial Awareness and Data Analytics

  • Offered for Year: 2024/25
  • Module Leader(s): Professor D John Mangan
  • Lecturer: Dr Yongchang Pu
  • Owning School: Engineering
  • Teaching Location: Newcastle City Campus
Semesters

Your programme is made up of credits, the total differs on programme to programme.

Semester 2 Credit Value: 10
ECTS Credits: 5.0
European Credit Transfer System
Pre-requisite

Modules you must have done previously to study this module

Pre Requisite Comment

N/A

Co-Requisite

Modules you need to take at the same time

Co Requisite Comment

N/A

Aims

This module aims to:
-       Introduce commercial awareness and the basics of key business and management concepts, tools
and techniques;
-       Demonstrate the importance of management, interpersonal and communications skills and how these can be
enhanced;
-       Highlight the value of data and how it can be analysed and managed
-       Learn and understand the Python programming language and machine learning techniques and their
application to both research and practice.

Outline Of Syllabus

Specialist knowledge in the maritime domain is not enough to allow you to thrive in your future career in the maritime and related sectors. Understanding key business fundamentals, appreciating the value of data (‘the new gold’), and enhancing your skills sets are all increasingly essential in addition to specialist domain knowledge.

The syllabus comprises a series of pillar topics chosen and sequenced to allow you to learn and grow to become a competent professional:
-       Management and Leadership
-       Societal imperatives: ESG (Environmental, Social and Governance), EDI (Equality, Diversity and Inclusion), CSR (Corporate Social Responsibility), Security, Net Zero;
-       Management Skills and Self Awareness;
-       Innovation and Entrepreneurship, Business Strategy, Marketing, Operations, Human Resource Management;
-       Data management, Data Protection and Security;
-       Python programming language, Machine learning techniques and applications.

The assessments (formative and summative) will allow you to test and develop the key knowledge and skills requirements of the module and see them in the context of your target career trajectory.

Learning Outcomes

Intended Knowledge Outcomes

On successful completion of this module, students will be able to demonstrate knowledge and understanding of:

IKO1. Key business and management fundamentals (M14, M15)
IKO2 The value of data and how it can be both analysed and managed (M2, M3)
IKO3 The critical role of societal imperatives: ESG, CSR, EDI, Security, Net Zero (M7, M8, M9, M10, M11)

Intended Skill Outcomes

On successful completion of this module, students will develop the following skills: ISO1. Effective management, interpersonal and communications skills (M16, M17, M18)
ISO2. Selection of appropriate tools and techniques to enhance business processes and performance (M3, M14)
ISO3: Write Python programmes and develop machine learning models. (M2, M3)

Teaching Methods

Teaching Activities
Category Activity Number Length Student Hours Comment
Scheduled Learning And Teaching ActivitiesLecture32:006:00Lectures on Python and machine learning.
Scheduled Learning And Teaching ActivitiesLecture52:0010:00Lectures on key business and management topics
Guided Independent StudyAssessment preparation and completion130:0030:00Preparation of the assessed report
Structured Guided LearningAcademic skills activities120:0020:00Review of online learning materials and completion of the formative assessments.
Scheduled Learning And Teaching ActivitiesSmall group teaching12:002:00Skills development workshop
Scheduled Learning And Teaching ActivitiesSmall group teaching32:006:00Tutorials on Python and machine learning
Guided Independent StudyIndependent study126:0026:00General reading and consolidation of module notes
Total100:00
Teaching Rationale And Relationship

The lectures are designed to provide a comprehensive introduction to the key pillar topics on the module. These are then augmented with both tutorials and online learning materials. The skills workshop provides a safe learning space for students to enhance key business skills.

Reading Lists

Assessment Methods

The format of resits will be determined by the Board of Examiners

Other Assessment
Description Semester When Set Percentage Comment
Report2M100Individual report of 2000 words
Formative Assessments

Formative Assessment is an assessment which develops your skills in being assessed, allows for you to receive feedback, and prepares you for being assessed. However, it does not count to your final mark.

Description Semester When Set Comment
Prob solv exercises2M(1) Online self awareness questionnaires (2) Python exercises (3) Online training courses on GDPR and EDI.
Assessment Rationale And Relationship

Students have a choice to complete an individual report on either the data / python part of the module or the commercial awareness part of the module and will apply their module learning to a specific company or data set of their choice thus enhancing and contextualising their learning opportunity from this module (note that the formative assessments will ensure that students will study both parts of the module regardless of which half they choose to focus upon for the formative assessment).

Timetable

Past Exam Papers

General Notes

N/A

Welcome to Newcastle University Module Catalogue

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You may have some queries about the modules available to you. Your school office will be able to signpost you to someone who will support you with any queries.

Disclaimer

The information contained within the Module Catalogue relates to the 2024 academic year.

In accordance with University Terms and Conditions, the University makes all reasonable efforts to deliver the modules as described.

Modules may be amended on an annual basis to take account of changing staff expertise, developments in the discipline, the requirements of external bodies and partners, and student feedback. Module information for the 2025/26 entry will be published here in early-April 2025. Queries about information in the Module Catalogue should in the first instance be addressed to your School Office.