School of Advanced Technology and Digital Media to provide a qualification for students who are seeking to work in the data science, business analytics industry, or in occupations where big data management will be of utility.
The Higher Diploma in Data Science and Analytics has been developed by the London School of Business and Finance, School of Advanced Technology and Digital Media to provide a qualification for students who are seeking to work in the data science, business analytics industry, or in occupations where big data management will be of utility.
Throughout the course, students are fully supported, and their development is checked frequently by progress assessments. Student performance and satisfaction are monitored to ensure that the course meets students’ academic and personal development needs, and industry contacts ensure that the programme is relevant and suitable for the demands of a career in the industry.
Programme Aims
The main aim of the Higher Diploma in Data Science and Analytics is to give students the knowledge and practical insight into the workings of the data science and business analytics industry.
Students will get an insight into how big data is managed and useful information extracted to better make informed decisions. Holders of the Higher Diploma will be able to demonstrate detailed knowledge, practical applied experience, and critical understanding of the major concepts in big data management.
The aim of the Higher Diploma in Data Science and Analytics is to:
Develop students’ competence and practical skills in big data management.
Provide the foundation for future pathways and continuing professional development.
Provide the relevant knowledge and understanding of big data management as it relates to the wider business context.
Provide the technical, communication, and practical work skills that will enable graduates to follow a career in all areas of data science and analytics and a wide range of careers in IT, Retail, business, finance, marketing, logistics, and administration.
Learning Outcomes
Graduates of the Higher Diploma in Data Science and Analytics should be able to provide pivotal support to various departments within an organisation across all industries.
Their practical knowledge of big data management and its application in the business environment will make Graduates of the Higher Diploma in Data Science and Analytics valuable members of any organisation.
On successful completion of the Higher Diploma in Data Science and Analytics course, students should be able to:
Demonstrate relevant data science and analytics knowledge and understanding of the basic principles of big data management which will equip them with an awareness of the operation of analytics in all aspects of their careers.
Demonstrate proficiency in identifying analytical issues and know how to use their knowledge effectively across a range of problems.
Interpret situations that require analytical input and contribute meaningful and calculated solutions in a timely manner.
Effectively communicate information, arguments, and analysis in a variety of forms to specialist and non-specialist audience
Demonstrate cognitive skills of critical thinking, analysis, and synthesis.
Demonstrate effective problem solving and decision making using appropriate quantitative and qualitative skills including identifying, formulating, and solving problems.
Take and demonstrate responsibility for their own learning and continuing personal and professional development.
Undertake further training, develop existing skills, and acquire new competencies that will enable them to assume significant responsibility within organisations.
Recognise the management, economic, legal, social, professional, and ethical issues relating to information technology.
Learn and work both independently and within groups.
Develop the necessary study skills and knowledge to pursue further study.
Develop the professional skills necessary for a career in the IT industry.
Possess effective communication, teamwork, and leadership skills.
Present proposals and recommendations in a professional and efficient manner.
Entry requirements
Minimum Academic Entry Requirement
Local students shall possess one of the following:
Two passes in GCE ‘A’ Level Examinations
International Baccalaureate (24 points)
Local Polytechnic Diploma in any field
International Students shall possess one of the following:
Completion of Year 12 High School Qualification or equivalent qualification from respective home countries
Completed International Baccalaureate (24 points)
Equivalent Local Polytechnic Diploma in any field in respective home countries
Minimum English Language Entry Requirement
Both local and international students MUST fulfill the minimum English language entry requirement of one of the following (except Mandarin programmes):
Achieved grade C6 or better in the English language in GCE O level.
Passed in the English Language in Year 10 High School qualification or equivalent.
IELTS 5.5/TOEFL 550.
Completed LSBF Preparatory Course in English Upper Intermediate Level.
Students with non-standard entry requirements will be assessed on a case-by-case basis subject to the approval of the Academic Board.
Minimum Age
18 years or above
As the recipient of the Excellence in Curriculum and Assessment award at the EducationInvestor Asia Awards 2018, LSBF in Singapore provides a focused, industry-based education to more than 10,000 undergraduate and graduate students from more than 20 countries.
Data and analytics capabilities have made a leap forward in recent years. The volume of available data has grown exponentially, more sophisticated algorithms have been developed, and computational power and storage have steadily improved.
In an increasingly digital world, Data Science plays a crucial role in driving decisions, innovation, productivity and success. Big Data analytics has changed the way organisations identify trends, challenges and new opportunities.
Organizations are generating volumes of data. This data could be used to solve problems, generate insight, mitigate risk, identify superior products, etc. if it were properly analyzed. The Bachelor of Science in Business Analytics (BSBA) is grounded in the concepts of Evidence-Based Management.
With the rise of AI and machine learning, organizations need to efficiently develop and implement data science capabilities to stay competitive. Pursue a computer science (Data Science) degree and attain programming skills such as Python, data mining and big data analytics.
An undergraduate degree programme in Data Science and Artificial Intelligence, based on rigorous training in the synergistic fields of statistics and computer science.
© 2024 coursetakers.com All Rights Reserved. Terms and Conditions of use | Privacy Policy