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The Oxford MBA at Saïd Business
School. It is one of the most prestigious and competitive business programs. It
is designed to develop global leaders with a strong focus on entrepreneurship,
strategy, and responsible business. This University is the one of the oldest
and finest institute with the strong network in globe.
|
Duration |
1 year |
|
Tuition
Fees |
$ 90,000 |
|
Ranking |
Top 10 MBA programs globally |
|
Average
Salary After MBA |
$ 113,100 - $ 150,900 |
|
Class Size |
350 students |
|
Diversity |
90-95% international students |
|
Program
Start |
September |
The University of Oxford's Saïd
Business School offers a one-year, full-time Master of Business Administration
(MBA) program designed to equip students with a solid foundation in core
business principles while fostering a broadened understanding of the role of
business in society. The program emphasizes a rigorous academic experience,
exposure to a global network, and diverse career opportunities.
Program Structure:
Duration: 1 year
Start Date: September 2025
Location: Oxford
Cost: $ 105,400
Class Profile
Class Size: 348
Nationalities Represented: 59
International Students: 97%
Female Students: 48%
Average Work Experience: 6 years
Median GMAT Score: 680
The diverse cohort brings a
multiplicity of perspectives and expertise and enriching the learning
environment.
Undergraduate Degree: A
recognized undergraduate degree with the official transcripts.
Work Experience: At least two
years of full-time work experience, demonstrating career progression,
international exposure, and leadership potential.
GMAT/GRE Scores: Competitive GMAT
or GRE scores
English Proficiency: Required for
applicants from non-majority English-speaking countries, with specific TOEFL or
IELTS score thresholds.
References: Two professional or
academic references.
Essay: The supporting statement
outlining anything additional you would like the Admissions Committee to
consider.
Application Deadlines for 2025-26
Intake:
Monday, 6 January 2025
Monday, 3 March 2025
Final decisions are communicated
by the corresponding decision deadlines for each stage.
Scholarships and Funding:
The range of scholarships is
available, funded by Saïd Business School, Oxford University, colleges, and
external sources. The Applicants are automatically considered for most
scholarships and if they meet the eligibility criteria. The Early application
is recommended to maximize scholarship opportunities.
Career Development:
This Career Development Centre
offers personalized support through coaching, talent development, and employer
engagement. The 2022-23 cohort, 80% of students secured new roles within three
months of graduation, with an average salary increase of 9% to $ 113,600. The
students have pursued careers across various sectors, including consulting,
finance, technology, and global industries.
The Business Analytics & AI
Strategy is a powerful combination that helps organizations make data-driven
decisions and optimize operations, and create competitive advantages using
artificial intelligence. Here’s the breakdown of both concepts and how they
work together.
Duration: This part-time program
spans over a year, divided into four modules.
Fees: The total program fee is $
42,700.
Eligibility:
A minimum of an upper-second
class undergraduate degree or equivalent.
At least five years of relevant
work experience.
Practical Projects:
This program incorporates
hands-on projects to bridge theory and practice:
Entrepreneurship Project: The
Teams develop a comprehensive business plan for a new venture, presenting it to
a panel of investors and practitioners. The project fosters entrepreneurial
thinking and strategic planning skills.
Strategic Consulting
Project: The Students undertake a
consulting assignment for a corporate sponsor, addressing real-world business
challenges and providing strategic recommendations.
Michaelmas Term
Focus: Fundamentals of Business
& Leadership
Analytics – Data-driven
decision-making and business analytics
Business Finance – Corporate
finance principles, valuation, and investment
Financial Reporting – Accounting
and financial statements
Marketing – Consumer behavior,
branding, and digital marketing strategies
Operations Management – Supply
chain, logistics, and process optimization
Strategy – Competitive advantage,
market positioning, and business models
Leadership Fundamentals –
Personal leadership development and team dynamics
Hilary Term
Focus: Advanced Business Skills
& Global Perspective
Corporate Turnarounds &
Transformations – Business restructuring and strategy shifts
Global Rules of the Game – Impact
of political, legal, and economic factors on business
Entrepreneurial Finance –
Start-up financing, venture capital, and private equity
Organizational Behavior –
Managing people, culture, and leadership challenges
Business Ethics &
Sustainability – Corporate social responsibility and ethical leadership
Trinity Term
Focus: Customization &
Application of Knowledge
Consulting & Project
Management – Client-based project execution
Key Skills Required
Data analysis & visualization
Machine learning & AI
fundamentals
Statistical modeling &
predictive analytics
Business intelligence &
problem-solving
SQL, Python, R for data
manipulation
Strategic thinking &
decision-making
Understanding of cloud computing
& big data
Communication & stakeholder
management
Key Responsibilities
Collecting, processing, and
analyzing business data
Using AI models for predictive and
prescriptive analytics
Developing data-driven business
strategies
Automating processes and
improving operational efficiency
Identifying trends & market
opportunities
Implementing AI solutions for
decision-making
Risk assessment & fraud
detection
Business Analyst
AI Product Manager
Marketing Analytics Specialist
AI Strategy Consultant
Business Analyst
Data Analyst
AI Strategy Consultant
Machine Learning Engineer
Data Scientist
Chief Data Officer (CDO)
Business Intelligence Analyst
Risk Analyst
Google
Amazon
Microsoft
IBM
Deloitte
McKinsey & Company
Accenture
PwC
KPMG
JP Morgan Chase
|
Ques. What
is the average salary for professionals in this field? |
|
Ans. $90,000–$130,000. |
|
Ques. Is a
technical background necessary? |
|
Ans. Not always! While programming skills
(Python, R, SQL) are helpful, many roles focus on strategy and business
insights. |
|
Ques. What industries hire Business Analytics
& AI professionals? |
|
Ans. Finance, Healthcare, Retail, E-commerce,
Manufacturing, Consulting, Technology, and more. |
|
Ques. Which certifications can help in this
field? |
|
Ans. Google Data Analytics Professional
Certificate Microsoft Certified: Azure AI Engineer Associate. |
