- Home
-
Study
Study
Interested in studying at Northumbria? With 31,500 students, Northumbria is one of the largest universities in the country, offering courses on either a full-time, part-time or distance learning basis.
Studying at Northumbria-
UCAS Clearing 2023
- Clearing Courses
- Clearing 2023 FAQS
- UCAS Tariff Points
- Confirmation
- Clearing Case Studies
-
Undergraduate
- Undergraduate Study Degree
- Undergraduate Open Day & Events
- Application Guides
- Northumbria University UCAS Exhibitions
- Foundation Years
- Undergraduate Fees & Funding
- School & College Outreach
- Continuing Professional Development
-
Postgraduate
- Postgraduate Study Degree
- Postgraduate Research Degrees
- Postgraduate Open Days and Events
- Postgraduate Fees & Funding
- Flexible Learning
- Thinking about a Masters?
- Continuing Professional Development
- Change Direction
-
Student Life
- The Hub - Student Blog
- Accommodation
- Life in Newcastle
- Support for Students
- Careers
- Information for Parents
- Students' Union
- Northumbria Sport
-
-
International
International
Northumbria’s global footprint touches every continent across the world, through our global partnerships across 17 institutions in 10 countries, to our 277,000 strong alumni community and 150 recruitment partners – we prepare our students for the challenges of tomorrow. Discover more about how to join Northumbria’s global family or our partnerships.
View our Global Footprint-
Applying to Northumbria
- European Union
- Our London Campus
- Northumbria in Amsterdam
- Northumbria Pathway
- International Events
- Northumbria and your Country
- Entry Requirements
- Agent Network
-
Northumbria Language Centre
- Faculty Requirements
- Acceptable English Requirements
- Pre-Sessional English and Study Skills
- Academic Language Skills Programmes (ALS)
-
International & EU Fees, Funding & Scholarships
- EU/International Undergraduate Fees
- EU/International Undergraduate Funding
- EU/International Masters Fees
- EU/International Masters Funding
- EU/International Postgraduate Research Fees
- EU/International Postgraduate Research Funding
- International Money Matters
-
Life at Northumbria
- International student support
- The Hub - Student Blog
- Careers
-
International Mobility
- Current Northumbria Students
- Incoming Exchange Students
-
-
Business
Business
The world is changing faster than ever before. The future is there to be won by organisations who find ways to turn today's possibilities into tomorrows competitive edge. In a connected world, collaboration can be the key to success.
More on our Business Services -
Research
Research
Northumbria is a research-rich, business-focused, professional university with a global reputation for academic quality. We conduct ground-breaking research that is responsive to the science & technology, health & well being, economic and social and arts & cultural needs for the communities
Discover more about our Research -
About Us
-
About Northumbria
- Our Vision
- Our Staff
- Our Partners
- Student Profiles
- Alumni Profiles
- Leadership & Governance
- Academic Departments
- University Services
- History of Northumbria
- Contact us
- Online Shop
-
-
Alumni
Alumni
Northumbria University is renowned for the calibre of its business-ready graduates. Our alumni network has over 233,000 graduates based in 177 countries worldwide in a range of sectors, our alumni are making a real impact on the world.
Our Alumni - Work For Us
What will I learn on this module?
Building on knowledge gained at level 4, you will continue to learn and increase your skills in applying a variety of practical mathematical and statistical methods specific to the disciplines of finance and economics. On the side of mathematics, this module will expand on geometric series, optimisation methods and techniques, differentiation and integration. On the side of statistics, you will review the derivation of probability distribution and introduce basic principles for machine learning. The module will address formal derivations of mathematical and statistic functions by applying theories and techniques to practical economic and finance cases and examples. Topics in this module include:
1. Review of Mathematical Functions;
2. Mathematics of Financial Returns;
3. Optimisation Methods: Linear Programming;
4. Differentiation of functions of two or more variables
5. Optimisation methods: Maxima and minima of a function of two variables
6. Integration: primitive of a function and Riemann integral;
7. Linear Algebra and Portfolio Theory
8. Probability Distributions;
9. Maximum likelihood principle and elements of Machine Learning.
How will I learn on this module?
You will learn through lectures (12 hours), workshops (24 hours) in an IT lab, tutor directed study (82 hours) and independent study (82 hours). You will be required to demonstrate high levels of engagement in understanding mathematical methods and applications. Independent learning will use both core and recommended texts to practice and further develop understanding through specific examples and applications. You can therefore expect to employ the reflective-practitioner approach to learning that is both knowledge and skills based and embedded in all delivery sessions. Directed learning will centre upon a range of activities including pre-reading, preparation for interactive activities, practice in IT lab, and use of the discussion board to learn and share knowledge. Independent learning will centre upon the students identifying and pursuing areas of interest in relation to mathematics and statistics and by providing deeper/broader knowledge and understanding of the subject through a range of learning activities that will include extended reading, reflection and practice, as well as mathematical and statistical calculations. Critical reflection on knowledge, experience and practice underpins the learning and teaching philosophy along with the explicit development of competence.
How will I be supported academically on this module?
You will be supported by a teaching and learning plan (TLP) that provides the content and structure of formal sessions, tutor-directed study and independent study. Support will be provided to you by a module lead and seminar and workshop tutors who will all provide support on a formative basis during each interactive session. Your lectures will be recorded and uploaded to the e-learning portal which you will be able to access to consolidate your knowledge and develop understanding. Your module is supported by an e-learning portal that houses lecture materials, seminar and workshop exercises and data files for use in workshop sessions. You will be provided with a wide-ranging electronic reading list that comprises of various academic reports, conference papers, video links and journal articles that will introduce you to the theory and application of the techniques introduced in the module.
What will I be expected to read on this module?
All modules at Northumbria include a range of reading materials that students are expected to engage with. The reading list for this module can be found at: http://readinglists.northumbria.ac.uk
(Reading List service online guide for academic staff this containing contact details for the Reading List team – http://library.northumbria.ac.uk/readinglists)
What will I be expected to achieve?
Knowledge & Understanding (KU):
• To understand, critique and apply a variety of mathematical and statistical techniques (MLO1).
• To formulate and solve mathematical and statistical problems through the selection of specific tools and techniques (MLO2).
Intellectual / Professional skills & abilities (IPSA):
• To use statistical and mathematical models for the analysis of data (MLO3).
• To appreciate the relevance of theory for empirical applications (MLO4).
Personal Values Attributes (PVA):
• You will develop a robust analytical skillset that will enable you to analyse and interpret a wide range of issues within and outside the disciplines of economics and finance. (MLO5).
How will I be assessed?
Formative assessment:
Formative assessment will take place through discussion and reflection, discussion board activity on the e-learning platform, case study activity and in workshop sessions. Formative feedback will be provided throughout the module, particularly in relation to workshop tasks. Students should, however, be aware that formative feedback can, and will, occur in any communication with the academic tutor.
Summative assessment:
This module is assessed via two components:
1. Multiple Choice Questionnaire (MCQ) eLP/Blackboard based online test. Two 1 hour sessions. Weighing 20% overall (MLO1, MLO2, MLO5)
2. 2.5 hour open noted exam (80%). (MLO1 – MLO4, MLO5)
Pre-requisite(s)
None
Co-requisite(s)
None
Module abstract
The skills you acquired in Year 1 provide you with a robust platform for understanding and applying a wide range of mathematical operations and statistical tools. This module will increase and expand your knowledge of different, more advanced analytical tools for working in economics and finance. You’ll gain more awareness and control of quantitative models and techniques, learning the intuition that lies behind key theories and models in both economics and finance from a practical perspective. The module comprises workshops where you’ll use software packages to analyse and interpret data. On its completion, you’ll be able to apply appropriate analytical tools and methods to different types of data, and to discuss and explain results concisely and consistently. By acquiring these critical skills, you’ll significantly enhance your profile both in terms of employability and entrepreneurial opportunities.
Course info
UCAS Code N395
Credits 20
Level of Study Undergraduate
Mode of Study 3 years full-time or 4 year sandwich
Department Newcastle Business School
Location City Campus, Northumbria University
City Newcastle
Start September 2024
Full time Courses starting in 2023 are primarily delivered via on-campus face to face learning but may include elements of online learning. We continue to monitor government and local authority guidance in relation to Covid-19 and we are ready and able to flex accordingly to ensure the health and safety of our students and staff.
Contact time is subject to increase or decrease in line with additional restrictions imposed by the government or the University in the interest of maintaining the health and safety and wellbeing of students, staff, and visitors, potentially to a full online offer, should further restrictions be deemed necessary in future. Our online activity will be delivered through Blackboard Ultra, enabling collaboration, connection and engagement with materials and people.
Current, Relevant and Inspiring
We continuously review and improve course content in consultation with our students and employers. To make sure we can inform you of any changes to your course register for updates on the course page.
Your Learning Experience
Find out about our distinctive approach at
www.northumbria.ac.uk/exp
Admissions Terms and Conditions
northumbria.ac.uk/terms
Fees and Funding
northumbria.ac.uk/fees
Admissions Policy
northumbria.ac.uk/adpolicy
Admissions Complaints Policy
northumbria.ac.uk/complaints