Overview
Embark on a transformative journey with our MBA with Diploma in Data Science - 12 months program. Dive deep into key topics such as data analytics, machine learning, and business intelligence. Our practical approach equips you with real-world case studies and actionable insights to thrive in the dynamic digital landscape. Gain hands-on experience with cutting-edge tools and technologies, and develop the skills needed to make strategic decisions based on data-driven insights. Elevate your career prospects and stay ahead of the curve with this comprehensive program designed to empower learners with the knowledge and expertise to succeed in today's data-driven world.
Course Structure
• Data Analysis
• Machine Learning
• Business Analytics
• Data Visualization
• Big Data Technologies
• Statistical Analysis
• Data Mining
• Predictive Modeling
• Data Warehousing
• Python Programming
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 - 12 months
● Learning Outcomes: This comprehensive program combines the core principles of an MBA with specialized training in data science. Students will gain a deep understanding of business management while also developing advanced skills in data analysis, machine learning, and data visualization. Graduates will be equipped to make strategic decisions based on data-driven insights, giving them a competitive edge in today's data-driven business world.● Industry Relevance: The fusion of an MBA with a Diploma in Data Science is highly relevant in today's job market. Companies across industries are increasingly relying on data to drive decision-making and improve performance. Graduates of this program will be well-positioned to pursue roles such as data analyst, business intelligence manager, or data scientist in a variety of sectors including finance, healthcare, marketing, and more.
● Unique Features: One of the standout features of this program is its accelerated timeline of just 12 months. This allows students to quickly gain the skills and knowledge needed to advance their careers without taking an extended break from the workforce. Additionally, the program offers a blend of theoretical knowledge and hands-on experience through real-world projects and case studies, ensuring that students are well-prepared for the demands of the industry upon graduation.
Enroll in the MBA with Diploma in Data Science - 12 months program today and take the first step towards a successful career in the dynamic field of data science and business management.
MBA with Diploma in Data Science - 12 months
Combining an MBA with a Diploma in Data Science for a 12-month program is essential in today's competitive job market. This unique combination equips students with both business acumen and technical skills, making them highly sought after by employers.
According to a recent study by the UK Commission for Employment and Skills, the demand for professionals with data science skills is expected to grow by 50% over the next decade. This presents a lucrative opportunity for individuals with a blend of business and data expertise.
| Industry | Projected Growth |
|---|---|
| Data Science | 50% |
Career path
| Career Roles | Key Responsibilities |
|---|---|
| Data Analyst | Analyzing data, creating reports, and providing insights to support decision-making. |
| Business Intelligence Analyst | Developing strategies for data analysis, designing dashboards, and presenting findings to stakeholders. |
| Data Scientist | Building predictive models, conducting statistical analysis, and identifying trends in data. |
| Data Engineer | Designing and implementing data pipelines, optimizing data storage, and ensuring data quality. |
| Product Manager | Defining product requirements, prioritizing features, and collaborating with cross-functional teams. |