Overview
Embark on a transformative journey with our MBA with Diploma in Data Science - 24 months program. Dive deep into key topics such as data analytics, machine learning, and business intelligence. Through real-world case studies and hands-on projects, gain actionable insights to thrive in the digital landscape. Our practical approach equips learners with the skills needed to make informed decisions and drive business growth. Join us and unlock a world of opportunities in the ever-evolving field of data science. Elevate your career prospects and stay ahead of the curve with our comprehensive and dynamic program.
Course Structure
• Accounting for Managers
• Marketing Management
• Operations Management
• Business Analytics
• Financial Management
• Strategic Management
• Data Mining
• Machine Learning
• Big Data Technologies
• Data Visualization
Entry Requirements
Duration
The programme is available in two duration modes:
:
:
This programme does not have any additional costs.
The fee is payable in monthly, quarterly, half yearly instalments.
You can avail 5% discount if you pay the full fee upfront in 1 instalment
Payment Plan
| Duration | Cost | Payment Options |
|---|---|---|
Accreditation
MBA with Diploma in Data Science - 24 months
● Learning Outcomes: This comprehensive 24-month program combines the core principles of an MBA with specialized training in data science. Students will develop a deep understanding of business management while also gaining expertise in data analysis, machine learning, and data visualization. Graduates will be equipped with the skills to make data-driven decisions, solve complex business problems, and drive innovation within organizations.● Industry Relevance: In today's data-driven world, the demand for professionals with a blend of business acumen and data science skills is on the rise. This program is designed to meet the needs of industries across various sectors, including finance, healthcare, marketing, and technology. Graduates will be well-positioned to pursue roles such as data analyst, business intelligence manager, or data scientist in high-growth industries.
● Unique Features: What sets this program apart is its combination of a traditional MBA curriculum with a specialized diploma in data science. Students will have the opportunity to work on real-world projects, collaborate with industry partners, and gain hands-on experience with cutting-edge tools and technologies. The program also offers networking opportunities with industry professionals, career development support, and access to a global alumni network. By the end of the 24 months, students will not only earn an MBA but also a valuable diploma in data science, setting them apart in the competitive job market.
Enroll in the MBA with Diploma in Data Science - 24 months program today and take your career to new heights in the dynamic field of data-driven business management.
Why MBA with Diploma in Data Science - 24 months is required?
Combining an MBA with a Diploma in Data Science over a 24-month period provides a unique skill set that is highly sought after in today's competitive job market. This dual qualification equips individuals with the business acumen of an MBA along with the technical expertise in data science, making them valuable assets to companies looking to leverage data for strategic decision-making.
Industry Demand for MBA with Diploma in Data Science - 24 months
| Statistic | Demand |
|---|---|
| According to the Office for National Statistics | Data Science roles in the UK are projected to increase by 50% in the next 5 years. |
| The average salary for a Data Scientist in the UK is £60,000 per annum. | This is 20% higher than the national average salary. |
Career path
| Career Roles | Key Responsibilities |
|---|---|
| Data Analyst | Analyzing data to provide insights and recommendations |
| Business Intelligence Analyst | Developing strategies to help businesses make informed decisions |
| Data Scientist | Building predictive models and algorithms to solve complex problems |
| Data Engineer | Designing and maintaining data pipelines and infrastructure |
| Product Manager | Leading product development and strategy based on data insights |