The BSc in Data Science is a dynamic three-year program comprising 180 ECTS credits. It offers a well-rounded education in data science, encompassing key areas such as data analysis, machine learning, big data technologies, and statistical methods. The curriculum is designed to provide a solid foundation in the principles of data science, while also allowing for specialization in areas of interest. Students will engage with cutting-edge tools and technologies, gaining hands-on experience that is directly applicable in the industry.

The program's structure is thoughtfully curated to ensure a balance between theoretical knowledge and practical skills. Core courses lay the groundwork in data science concepts, while electives and project-based learning offer opportunities for students to apply their knowledge in real-world scenarios. The inclusion of an internship and a capstone project further enhances the practical learning experience, preparing students for the challenges and demands of the data science profession.

The BSc in Data Science program offers a wealth of opportunities and unique features, including:

• Migration Pathways: Students have access to migration pathways to prestigious universities in the UK, France, Australia, and Canada, providing global exposure and further study opportunities.
• Practical Training: The program emphasizes hands-on practical training through well-equipped labs and facilities, ensuring students gain real-world experience in AI technologies.
• Expert Faculty: The course is taught by expert faculty with extensive experience in AI, offering students insights from the forefront of the field.
• Learning Opportunities in the UAE Campus: Students can opt to learn at the UAE campus, which offers a unique cultural experience and opportunities to secure valuable internships.
• Career Coaching and Placement Assistance: The program includes career coaching to guide students in their professional journeys, along with 100% placement assistance to help secure job opportunities post-graduation.
• Project Work Assistance: Students receive comprehensive support in their project work, enhancing their practical skills and understanding of AI applications.
• Collaborative Projects and Competitions: Opportunities to collaborate on diverse projects and participate in competitions, fostering teamwork and innovation.
• Postgraduate Opportunities: Graduates can pursue postgraduate programs in top universities across Canada, USA, Australia, UK, and France.
• Capstone Projects: The curriculum includes capstone projects that allow students to apply their knowledge in a culminating, real-world scenario.
• Access to Resources: Students have access to a wide range of projects, datasets, and lab materials, enriching their learning experience.
   

Graduates of the BSc in Data Science program can pursue various career opportunities including:

• Data Scientist
• Data Analyst
• Business Intelligence Analyst
• Machine Learning Engineer
• Data Engineer
• Data Architect
• Data Consultant
• Big Data Analyst
• Statistical Analyst
• Data Analytics Manager

These roles span across multiple industries, leveraging the skills in data analysis, machine learning, and big data technologies acquired through the program.
 

• UK ENIC
• World Education Services
   

• Admission is open to students who have passed the qualifying 10+2 examination or its equivalent from a recognised board with at least 45% aggregate marks.
• Adequate proficiency in English is a must for all programs.
   

During the BSc in Data Science program, the following tools and technologies may be used:

• Programming Languages: Python, R
• Data Analysis and Manipulation: Pandas, NumPy, SciPy
• Machine Learning Frameworks: TensorFlow, PyTorch, Keras
• Data Visualization: Matplotlib, Seaborn, Tableau
• Big Data Technologies: Apache Hadoop, Spark
• Database Management: SQL, NoSQL databases (like MongoDB)
• Statistical Analysis Software: SAS, SPSS
• Cloud Platforms: AWS, Azure, Google Cloud
• Version Control: Git, GitHub
• Data Mining Tools: Weka, KNIME

These tools are essential for developing practical skills in data science and are widely used in the industry.
 

Eucléa Business School is a higher education institution that is a member of the Collège de Paris, specialised in business, technology and alternating management. With four campuses strategically located in Strasbourg, Metz, Mulhouse and Reims, Eucléa offers a complete range of training, ranging from Post-Bac to Bac+5 level. Our school is dedicated to pedagogical excellence and personal development. Euclea’s goal is to help you develop your skills, explore new perspectives and prepare for a bright future while fostering a student life rich in opportunities.

Britts Imperial University College (UAE) is renowned for its outstanding technology and business education. The College, with its exceptional offerings, has gained immense popularity as one of the most desirable institutions in the Middle East and beyond. With a student population of over 3000 students, Britts Imperial University college has established a solid reputation in the field of Education. The institution has gained recognition for its innovative online and blended learning approach. The institution prioritises student placements and strives to make them more accessible by partnering with a wide range of organisations.

• Eligibility Check
• Application Submission
• Application Acceptance
• Provisional Admission
• Document Verification
• Admission acceptance

* Adjunct Professor

• Prior Experience Requirement: No prior programming or statistics experience is required, though it can be beneficial. The program starts with foundational courses.
• Program Format: The program is currently offered only on campus.
• Practical Components: It includes hands-on projects, internships, and capstone projects to apply learning in real-world scenarios.
• Prerequisites for Modules: Some advanced modules may have prerequisites, but foundational courses are open to all students.
• Tech Entrepreneurship Opportunities: The program equips students with skills suitable for tech entrepreneurship.
• Freelance or Consultancy Work: Skills gained are applicable for freelance or consultancy roles across various industries.
• International Recognition: The degree is internationally recognized, allowing for global employment opportunities.
• Pursuing Higher Studies: Graduates can advance to higher studies, including master's and doctoral programs.
• Support and Resources: Students have access to faculty, career services, technology labs, libraries, and online resources.
• BSc Data Science vs. BSc AI: BSc Data Science focuses on statistical analysis and handling large datasets, suitable for those interested in data-driven insights, whereas BSc AI is more about developing and implementing AI algorithms.
• Data Science vs. Data Analytics: Data Science covers a broader range of activities including data collection, processing, and analysis, while Data Analytics is more focused on extracting insights from existing data sets.
• Specializing in Data Science: Specialization in Data Science is beneficial due to the high demand for data-driven decision-making skills across various industries, offering diverse career opportunities.