HNC Data Analytics

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    Course Title: HNC Data Analytics

    Group Award Code: GMON 15

    SCQF Level: 7

    Credit Value: 15

    SCQF Points: 120

    Modes of Study: Full Time – Part Time

    Duration: 1 Year Full Time, 16 Months Part Time

    Starting from: Aug 2017 – Jan 2018

    The HNC Data Analytics is designed for learners who chooses to enhance their careers in the fields of Mathematics and Data Analytics. The HNC Data Analytics will provide students’ knowledge for a successful career in Data Science, Statistics, Mathematics and Computing. This course provides a comprehensive range of hypothetical knowledge and practical skills in the above said fields.

    This course provides students with a foundation in areas such as Data Analytics, Software Development and Computer Science so they can make informed choices before specialising. Major opportunities exist for learners to develop the more generic skill, known as Core Skills (communication, Numeracy, ICT, Problem solving and working with others) through doing this qualification.

     

    Why should you consider this course?

    In the current modern world economy exclusively information is playing a vital role from the health care (e.g. NHS), travelling (e.g. travel agencies), gaming industry, energy management, internet communication data, financial services to customer- compliance- fraud and operational analytics. With analytical abilities, you will be able to determine which data is relevant to your solution, more like problem solving.

    Indulging this gigantic array of data is one of the key contests we currently face and entails expertise in subjects such as mathematics, statistics and computing.

    Data Analytics is the quest of scrutinising raw data through advanced computing systems. These systems convert, classify, and model the data to draw inferences and determine collections. It is one of the fastest growing technology which has become an integral part of contemporary business and industry. It is currently used by many industries and this is to allow the businesses to make better judgements as well as demonstrate and disprove existing theories or models. This qualification will accelerate business value with a data management platform and significantly speed up the distribution of data for analytics initiatives.

    This course will dynamically provide students to tackle such cutting edge skills, empowering them to handle problems in vibrant business environments. This is an exciting and rewarding career in an industry that is set to intensify.

     

    What will you study?

    The prime ambition is to prepare learners for progression to 2nd year in degree programme and/or relevant employment in the fields of data analytics, computing, statistics or mathematics. This qualification has been designed to provide a distinctive route within the suite of Vocational Computing awards. The qualifications will also prepare learners for progression to further education, Higher Education or occupational qualifications in the workplace.

    • Mathematics: Calculus, Geometry, Analysis
    • Statistics for Science
    • Data Science
    • Software Programming Foundations
    • Object Oriented Programming
    • Computation Theory: Machines, languages and Computation

     

    Entry Requirements

    Minimum Entry Requirements: 

    • Two new National Courses at Higher, one of which should be Mathematics at level B or above and one relevant computing related subject at grade C or above, based on the Curriculum for Excellence, together with three passes at National 5 level in appropriate subjects
    • Different combinations of relevant National Qualifications, vocational qualifications and equivalent qualifications from other awarding bodies may also be acceptable, as would suitable vendor qualifications at an appropriate level
    • Any other equivalent qualifications
    • Relevant industrial experience will also be considered

    Additional Selection Requirements: 

    All applications are subject to an interview to assess suitability in terms of academic qualifications and motivation. Reference will also be considered.

    Students will be invited to a group and/or individual interview where they will get the opportunity to find out more about the course.

    Course Development Routes

    This qualification will prepare learners for progression to further education, Higher Education or occupational qualifications in the workplace.

    All HNC Data Analytics students must complete the first year and choose from the following options for their proposed study in the second year:

    1. Progression to 2nd year study in university
    2. Anticipating to progress directly to employment
    3. Advancement to other HND standardised courses

     

    Progression Route on Course Completion

    Successful completion of HNC in Data Analytics may provide access to 2nd year of the following degree courses at many universities in the region;

    1. BSc (Hons) Mathematics and Computer Science
    2. BSc (Hons) Data Analytics
    3. BSc (Hons) Computer Science
    4. BSc (Hons) Software Engineering

     

    Career Prospects & Job Roles

    A career as a data analyst will suit learners if they are highly analytical, have strong mathematical skills, and are probing and inquisitive.

    Data analysts are in high demand across all sectors, such as economics, consulting, engineering, pharmaceuticals, government and education.

     

    Job Roles:

    Graduates from this programme will be well-positioned to apply for industry jobs such as;

    1. Business intelligence
    2. Data assurance
    3. Data quality
    4. Finance
    5. Higher education
    6. Marketing
    7. Sales

     

    Facilities:

    All classrooms is equipped with the access to latest teaching and computer equipment and are helpful to student learning.

    1. Moodle
    2. Recorded Lectures
    3. Cloud storage
    4. Student dedicated email

     

    Application Forms

    The forms are available to download from our website HND Application Form or it can be collected from the Admissions Office (Admin upstairs) at ITPT Granton Campus.

    Funding Available:

    1. SAAS – SAAS.GOV.COM

    Download: SAAS Full Time/Part Time Funding Guide, Full Time Forms, Part Time Forms

    Read: Full Time Students Eligibility Criteria, Part Time Students Eligibility Criteria, Disabled students’ allowance (DSA)

    2. SDS – Flexible learning opportunity (who are currently employed in Scottish Based organisation not more than 100 employees can also apply for the course funding)

    For Students who don’t qualify for the above fundings:

    How much HNC/HND course will cost?

    For students living (domiciled) in Scotland or the European Union and with a term time address in Scotland, the following fees will apply:

    Higher National Awards (HNC, HND)

    2016-17

    Full-time per year (can be paid in instalments) £1,285
    Part-time (can be divided per unit) £1,285

     

    For rest of UK students

    For students living (domiciled) in rest of the UK (England, Wales and N. Ireland) and with a term time address in Scotland and studying this course, the following fees will apply:

    Higher National Awards (HNC, HND)

    2016-17

    Full-time per year (can be paid in instalments) £6,510
    Part-time (can be divided per unit) £4,510

    Fees are payable in advance each academic year unless otherwise agreed.

    We also provide flexible fee instalments to help students in paying their fee.

    There are a number of other funding opportunities available to UK and EU students to help them to pay for their studies and also to cover cost of living whilst studying. Contact the college for more details.

     

    Admission Queries

    To apply for this course, please fill this form and send us on admissions@itpt.co.uk.

    If you require further information please contact us at:

    Email: info@itpt.co.uk

     

    Address:

    Edinburgh

    62 West Harbour Road

    Granton

    Edinburgh

    EH5 1PW

    Phone: 0131 552 5558

    0131 552 5800

    Glasgow

    McCormick House,

    50 Darnely Street

    Glasgow

    G41 2SE

    Phone: 0141 429 2922

     

     

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