- UCAS course code
- L900
- UCAS institution code
- M20
Bachelor of Arts (BAEcon)
BAEcon Development Studies
In-depth study into the problems and options faced by the developing world.
- Typical A-level offer: AAA including specific subjects
- Typical contextual A-level offer: ABB including specific subjects
- Refugee/care-experienced offer: BBB including specific subjects
- Typical International Baccalaureate offer: 36 points overall with 6,6,6 at HL, including specific subjects
Fees and funding
Fees
Tuition fees for home students commencing their studies in September 2025 will be £9,535 per annum (subject to Parliamentary approval). Tuition fees for international students will be £29,500 per annum. For general information please see the undergraduate finance pages.
Policy on additional costs
All students should normally be able to complete their programme of study without incurring additional study costs over and above the tuition fee for that programme. Any unavoidable additional compulsory costs totalling more than 1% of the annual home undergraduate fee per annum, regardless of whether the programme in question is undergraduate or postgraduate taught, will be made clear to you at the point of application. Further information can be found in the University's Policy on additional costs incurred by students on undergraduate and postgraduate taught programmes (PDF document, 91KB).
Scholarships/sponsorships
Scholarships and bursaries, including the Manchester Bursary , are available to eligible home/EU students.
Some undergraduate UK students will receive bursaries of up to £2,000 per year, in addition to the government package of maintenance grants.
You can get information and advice on student finance to help you manage your money.
Course unit details:
Computing for Social Scientists
Unit code | ECON10151 |
---|---|
Credit rating | 10 |
Unit level | Level 1 |
Teaching period(s) | Semester 1 |
Available as a free choice unit? | Yes |
Overview
This course is designed for first-year undergraduate students to develop essential skills in using Microsoft Excel for a variety of academic and professional applications. By focusing on practical, hands-on experiences, students will learn to effectively use Excel for data analysis, optimization problems, financial analysis, and integration with Microsoft Word for report generation. This course will also briefly touch upon the general use of University IT systems, including library systems and citation databases.
At the end of this course, students will be able to:
- Understand and navigate University IT systems, focusing on library systems and citation/journal databases.
- Utilize Microsoft Word's advanced features, including the equation editor, styles, and endnote referencing, in conjunction with Excel data.
- Manipulate, summarize, and visually represent data in Microsoft Excel, applying various data analysis techniques.
- Employ Microsoft Excel’s solver functionality for solving constrained dynamic optimization problems.
- Integrate Excel outputs within Microsoft Word to produce quantitative reports of professional standards.
- Understand the basics of Macro and VBA Basics
Aims
This course is designed for first-year undergraduate students to develop essential skills in using Microsoft Excel for a variety of academic and professional applications. By focusing on practical, hands-on experiences, students will learn to effectively use Excel for data analysis, optimization problems, financial analysis, and integration with Microsoft Word for report generation. This course will also briefly touch upon the general use of University IT systems, including library systems and citation databases.
Learning outcomes
At the end of this course, students will be able to:
- Understand and navigate University IT systems, focusing on library systems and citation/journal databases such as to facilitate students’ studies.
- Utilize Microsoft Word's advanced features, including the equation editor, styles, and endnote referencing, in conjunction with Excel data in order to be able to submit well formatted assignments.
- Manipulate, summarize, and visually represent data in Microsoft Excel, applying various data analysis techniques in order to use data to support written arguments.
- Employ Microsoft Excel’s solver functionality for solving constrained dynamic optimization problems.
- Integrate Excel outputs within Microsoft Word to produce quantitative reports of professional standards.
- Understand the basics of Macro and VBA Basics in order to automate repetitive tasks.
Syllabus
Provisional
Core content area of the course:
- Excel Fundamentals, e.g. Basic functions and formulas; Data entry, manipulation, and formatting
- Data Visualisation and Dashboards, e.g., Creating and customizing charts and graphs; Advanced visualization techniques using PivotTables and PivotCharts
- Advanced Data Analysis Techniques in Excel, e.g., Utilizing advanced functions like VLOOKUP, INDEX/MATCH; Data sorting, filtering, and conditional formatting; Introduction to statistical analysis in Excel
- Optimization and Problem Solving, e.g., Solver tool in Excel
- Automation and Efficiency Tools, e.g., Basics of macros and VBA (Visual Basic for Applications)
Teaching and learning methods
Synchronous activities (such as Lectures or Review and Q&A sessions, and tutorials), and guided self-study
Employability skills
- Other
- Students will obtain the practical computing skills identified in the Intended Learning Outcomes.
Assessment methods
35% Integrated Word/Excel project
35% Excel solver assignment
30% Exam
Feedback methods
• Feedback in tutorials.
• Office hours.
• Revision sessions.
• Discussion boards.
Teaching staff
Staff member | Role |
---|---|
Yidi Sun | Unit coordinator |
Additional notes
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