Skill Bridge Level 3 Extended Diploma in IT and Data Science (610/5600/5)

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  60 Credits
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  04 Modules
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  240 Learning hours

Specifications


Qualification Overview


Units


Learning Outcomes


Entry Requirements

Overview

Qualification title:                                       Skill Bridge Level 3 Extended Diploma in IT and Data Science

Qualification type:                                                                                Vocational Related Qualification

Level:                                                                                                                                            3

Accreditation status:                                                                                                           Accredited

Credit Equivalency:                                                                                                                      180

In Year                                                                                                     1.5y-2y (Fast Track Available)

Qualification number (RQF):                                                                                            610/5598/0

Progression routes:                      Skill Bridge Level 4 Diplomas. Employment in an associated profession.                                                                                                                                                           Availability:                                                                                                        UK and international

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What Will I Learn?

Mandatory Units

• English for Higher Education
• Communication and Cultural Skills for Higher Education
• An Introduction to the Business Environment
• Business Resources
• An Introduction to Marketing
• Human Resource Management
• Computer Systems
• Coding and Website Development
• Networks
• Mobile Communications
• Cyber Security
• Social Media for Business
• The Field of Data Science
• Python for Data Science
• Creating and Interpreting Visualisations in Data Science
• Data and Descriptive Statistics in Data Science
• Fundamentals of Data Analytics
• Data Analytics with Python
• Machine Learning Methods and Models in Data Science
• The Machine Learning Process
• Linear Regression in Data Science
• Logistic Regression in Data Science
• Decision Trees in Data Science
• K-means Clustering in Data Science
• Synthetic Data for Privacy and Security in Data Science
• Graphs and Graph Data Science

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1. The ability to read and use appropriate literature with a full and critical understanding
2. The ability to think independently and solve problems.
3. Apply subject knowledge and understanding to address familiar and unfamiliar problems.
4. Recognise the moral and ethical issues of business practice and research, appreciating the need for ethical standards and professional codes of conduct.
5. An appreciation of the interdisciplinary nature of business and service provision.
6. Capacity to give a clear and accurate account of a subject, in a mature way and engage in debate and dialogue both with specialists and non-specialists
7. Transferable skills and knowledge that will enable individuals to meet changes in business.
8. To motivate individuals to 

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1. The ability to read and use appropriate literature with a full and critical understanding
2. The ability to think independently and solve problems.
3. Apply subject knowledge and understanding to address familiar and unfamiliar problems.
4. Recognise the moral and ethical issues of business practice and research, appreciating the need for ethical standards and professional codes of conduct.
5. An appreciation of the interdisciplinary nature of business and service provision.
6. Capacity to give a clear and accurate account of a subject, in a mature way and engage in debate and dialogue both with specialists and non-specialists
7. Transferable skills and knowledge that will enable individuals to meet changes in business.
8. To motivate individuals to progress to further professional development through future study or as part of their chosen career.

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Approved Centres are responsible for reviewing and making decisions as to the applicant’s ability to complete the learning programme successfully and meet the demands of the qualification. The initial assessment by the centre, will need to consider the support that is readily available or can be made available to meet individual learner needs as appropriate.

The qualifications have been designed to be accessible without artificial barriers that restrict access, for this qualification applicants must be aged 18 or over.

In the case of applicants whose first language is not English, then IELTS 6 (or equivalent) is required. International qualifications will be checked for appropriate enrolment to UK higher education postgraduate programmes where applicable. The applicants are normally required to produce two supporting references, at least one of which should preferably be academic.

Enquire Now

Overview

Qualification title:                                       Skill Bridge Level 3 Extended Diploma in IT and Data Science

Qualification type:                                                                                Vocational Related Qualification

Level:                                                                                                                                            3

Accreditation status:                                                                                                           Accredited

Credit Equivalency:                                                                                                                      180

In Year                                                                                                     1.5y-2y (Fast Track Available)

Qualification number (RQF):                                                                                            610/5598/0

Progression routes:                      Skill Bridge Level 4 Diplomas. Employment in an associated profession.                                                                                                                                                           Availability:                                                                                                        UK and international

Enquire Now

What Will I Learn?

Mandatory Units

• English for Higher Education
• Communication and Cultural Skills for Higher Education
• An Introduction to the Business Environment
• Business Resources
• An Introduction to Marketing
• Human Resource Management
• Computer Systems
• Coding and Website Development
• Networks
• Mobile Communications
• Cyber Security
• Social Media for Business
• The Field of Data Science
• Python for Data Science
• Creating and Interpreting Visualisations in Data Science
• Data and Descriptive Statistics in Data Science
• Fundamentals of Data Analytics
• Data Analytics with Python
• Machine Learning Methods and Models in Data Science
• The Machine Learning Process
• Linear Regression in Data Science
• Logistic Regression in Data Science
• Decision Trees in Data Science
• K-means Clustering in Data Science
• Synthetic Data for Privacy and Security in Data Science
• Graphs and Graph Data Science

Enquire Now

1. The ability to read and use appropriate literature with a full and critical understanding
2. The ability to think independently and solve problems.
3. Apply subject knowledge and understanding to address familiar and unfamiliar problems.
4. Recognise the moral and ethical issues of business practice and research, appreciating the need for ethical standards and professional codes of conduct.
5. An appreciation of the interdisciplinary nature of business and service provision.
6. Capacity to give a clear and accurate account of a subject, in a mature way and engage in debate and dialogue both with specialists and non-specialists
7. Transferable skills and knowledge that will enable individuals to meet changes in business.
8. To motivate individuals to 

Enquire Now

1. The ability to read and use appropriate literature with a full and critical understanding
2. The ability to think independently and solve problems.
3. Apply subject knowledge and understanding to address familiar and unfamiliar problems.
4. Recognise the moral and ethical issues of business practice and research, appreciating the need for ethical standards and professional codes of conduct.
5. An appreciation of the interdisciplinary nature of business and service provision.
6. Capacity to give a clear and accurate account of a subject, in a mature way and engage in debate and dialogue both with specialists and non-specialists
7. Transferable skills and knowledge that will enable individuals to meet changes in business.
8. To motivate individuals to progress to further professional development through future study or as part of their chosen career.

Enquire Now

Approved Centres are responsible for reviewing and making decisions as to the applicant’s ability to complete the learning programme successfully and meet the demands of the qualification. The initial assessment by the centre, will need to consider the support that is readily available or can be made available to meet individual learner needs as appropriate.

The qualifications have been designed to be accessible without artificial barriers that restrict access, for this qualification applicants must be aged 18 or over.

In the case of applicants whose first language is not English, then IELTS 6 (or equivalent) is required. International qualifications will be checked for appropriate enrolment to UK higher education postgraduate programmes where applicable. The applicants are normally required to produce two supporting references, at least one of which should preferably be academic.

Enquire Now