Diploma in Data Engineering (Level 5)

Overview

Our qualifications in Data engineering  were designed for the industry and are taught, assessed, and verified by local and international industry experts. They are career-specific and are aimed to ensure that our students graduate with the cutting-edge vibrant, entrepreneurial skills and solid competencies to satisfy the increasing demands of the local, regional, international and multinational employers and for self-employment. The qualification level has a broader coverage of the knowledge and practical skills required for the vocational sector. The qualification has the potential to prepare learners for progression to an appropriate Level 6 program in the same or related vocational area and progression to employment in the appropriate vocational sector. Other learners may want to use this qualification to extend the specialism they studied in other MUTAS programs.

Who is this qualification for?

The Diploma in Data engineering  (Level 5) is an ideal qualification if you’re just starting or want to start a career that involves operations to achieve any given organizational goals and objectives through effective performance. It is aimed at Apprentice level people who are new to the workplace and who need to develop their workplace skills and achieve a recognized qualification. It is also designed as an introductory course for those who aspire to work in operations. It is also appropriate for the induction of new starters and for up-skilling those individuals who are employed within a role that is predominately operations. If you are interested in any of the following, then this could be the course for you:

• Data warehouse engineer Assistant/Technician
• Data platform engineer Assistant/Technician
• Data infrastructure engineer Assistant/Technician
• Analytics engineer Assistant/Technician
• Data architect Assistant/Technician
• Devops engineer Assistant/Technician

What makes this course special?

The Marvelous University of Technology and Applied Sciences (MUTAS ) is one of the world’s most successful and best-preferred applied (hands-on) learning brand. The Marvelous University of Technology and Applied Sciences qualifications place greater emphasis on self-employment and employer engagement and work readiness. Marvelous University of Technology and Applied Sciences (MUTAS ) is one of the world’s most successful and best-preferred applied (hands-on) learning brand. The Marvelous University of Technology and Applied Sciences qualifications place greater emphasis on self-employment and employer engagement and work readiness. The MUTAS -Namibia provides 70% practical and 30% theory teaching and learning methodologies coupled with various practical learning-focused activities that fully engage our students.

The MUTAS programs in Data engineering  are work-related qualifications for students taking their first steps into employment, or for those already in employment and seeking career development opportunities.

Why you must study with MUTAS ?

At the Marvelous University of Technology and Applied Sciences (MUTAS ), we know how important it is for career ambitious people to get the right education to start and further develop their careers.

With today’s industry and employers demanding so much more than just a qualification to contain the effects of global competition and to attain a competitive edge, here are the main six (6) reasons why you must choose to study at MUTAS :

Work Readiness

MUTAS courses will give you real hands-on experience in pursuing your education. It is what is called learning by doing it or action learning. Based on a 70% practical (action learning, action research, projects, reflective thinking, critical thinking, etc.) and 30% theory teaching and learning and assessments methodologies, all the MUTAS students become work-ready (prepared) during their first year of study and graduate with strong work ethics, analytical, problem-solving, communication and entrepreneurial skills which are the major factors that employers are looking for in their recruits.

Employability

MUTAS higher vocational, technical and professional courses prepare students for employment and self-employment. The MUTAS courses develop a student’s employability skills as they offer the experience of real-life practical tasks and work placements. MUTAS qualifications are generally well-regarded by employers as the courses enable students to develop useful hands-on skills in respective fields of study and in critical areas such as problem solving, time management, entrepreneurial, communication, work behavior, visionary and focus minded, team work, and project planning, execution to evaluation. The knowledge and skills you get from MUTAS programs will make you be sought after by employers locally and globally. MUTAS helps students to gain strong knowledge and skills that are essential to start and successfully run their own businesses and/or to be appreciated competent and productive employees that every employer would like to hire.

Relevant

MUTAS courses are designed and developed with the help of the employers, industrial experts, professional bodies, higher education experts and lecturers. This keeps the MUTAS curriculum to be industry driven and relevant for today and the future’s job market and self-employment. MUTAS qualifications provide students with industry-specific knowledge, skills and competencies which make graduates’ work outputs to be relevant to their employers’ missions, visions and goals.

Practical Teaching and Assessments

The MUTAS teaching and learning is based on the seven (7) major principles teaching and learning through which theory knowledge is practically applied into various practical teaching and learning methods including action learning, projects supported by verifiable tangible evidences (outcomes), critical reflective thinking, case scenarios, job placements, industrial site visits, public lectures led by industrial experts, etc.

The assessment for MUTAS courses is largely based on regular coursework and work experience, which makes them an ideal option for those who crumble under the pressure of exams.

All the MUTAS programs are assessed through objective and rigor based assignments and projects for which origination is examined through the Turnitin IT Application to ensure that each students submits his/her own true work. The outcome of these assignments must be in an implementable practical and quality standard.  

Career and Education Progression

Employers value MUTAS qualifications as the courses are industry-centered and directed. In other words, unlike academic programs, the MUTAS courses give students the industry-specific knowledge and skills which makes them readily employable. This, combined with the problem solving, time management, entrepreneurial, communication, work behavior, visionary and focus minded, team work, and project planning skills they gained throughout their learning process give the MUTAS graduates a strong competitive edge to progress in senior job positions and to further pursue their postgraduate professional degrees such as Masters to Professional Doctorate Degree programs at various reputable higher education institutions/universities. The MUTAS Certificate in Data engineering  (Level 4) is also designed to reflect the increasing need for progression onto the high quality professional and technical education at levels 5 to 8 and beyond. These qualifications provide students with a clear career pathway so that they can be empowered to effectively and successfully progress and attain their career goals within the fastest period possible.

Reputation and Prestige

• The industry relevance, practicality, career-specific, and quality of the MUTAS qualification will make you stand out and visibly be seen and noticed in a cloud of many academically qualified graduates.
• As more employers expect their new employees to have relevant practical skills and competencies than costly academic knowledge, MUTAS makes your CV and profile standout.
• MUTAS is known for stringent quality standards that govern the provision of its higher vocational, technical and professional courses. MUTAS is also known for its practical, relevance, and Industry-driven courses.
• The above values, compounded with the work ethics, entrepreneurial, and problem-solving skills you will learn and practice while studying at MUTAS will grant you the respect, reputation, and prestige within the industry sector you will work.

Qualification Purpose and Outcomes

Upon completion of this program, graduates will be able to:

• Collect structured and unstructured data using APIs and web wrangling
• Pre-process data and generate statistics and Implement data storage solution
• Store and manage data in files and NoSQL databases
• Apply appropriate models on big data for predictive modelling and forecasting
• Reflect on the ethical challenges in data collection and data manipulation
• Work independently or in a team to get actionable insights using sophisticated data visualization methods
• Present your results and methods to a wide audience
• Progress to Diploma in Data Engineering (Level 6).

How will I learn?

The MUTAS tutors/lecturers are equipped with various traditional teaching methods which are all used to create and develop Vibrant, Skilled, Competent, and Work-prepared Entrepreneurial Technicians, Technologists, and Professionals. The teaching and learning practices involve 70% practical and 30% theory methodologies by applying a wide-range of action learning techniques stipulated in the course specification.

What does the course involve?

You will study a combination of theory, applied theory, and practical subjects across a broad range of units. To succeed, your effective time management and focus are both very critical. You will cover twelve (12) units. For each unit, you will do a main test, assignment, and examination in addition to an integrated project. These assessments do not include the informal tests, homework, and assignments that your lecturers will require you to do in each learning outcome. To pass this applied qualification, it is critical that constantly monitor, formalize yourself with and operate alongside developments taking place within the Data Engineering sector by regularly visiting Engineering Service organizations, reading news and articles related to the sector, etc.

Assessment Methods

The MUTAS programs are assessed using a combination of:

1. Informal Assessments
2. Formal Assessments

Informal assessments are conducted by lecturers on each covered component of the unit outcome to weigh knowledge created into his/her students so that necessary teaching practices adjustments can be made as appropriate.

Formal Assessments are further classified into two parts:

• Formal Continuous Assessments which comprise of:

1. Major Test
2. An Integrated Project

• Formal Final Assessments which comprise of:

1. Major Examination
2. Unit Assignments

What are the Career Progression Opportunities?

Learners who have achieved the Level 5 Certificate in Data Engineering could progress on to a Level 6 Diploma in Data Engineering that demonstrates occupational competency for the potential job roles listed below at this level, including an apprenticeship in business. Learners can also progress onto the MUTAS the Level 6 Data Engineering. Learners could also progress into roles such as Data Engineer Manager, Senior Supervisor or Assistant Manager (Data Engineering).

What are the Articulation Opportunities?

The credit transfers from other programs offered by other institutions or other MUTAS programs will be dealt with according to MUTAS rules and regulations on Recognition of Prior Learning. Provided that an applicant has qualification accredited by NQA and verifiable through the NQF, the MUTAS rules provide for course by course credits as well as credit transfer by volume under certain conditions. Maximum credits that can be granted from none technical (hands-on) programs are 15% of the credits for a qualification. Maximum credits that can be granted from the technical (hands-on) programs of similar standards with those of MUTAS are 50% of the credits for a qualification.

What career opportunities can this lead to?

The Diploma in Data Engineering (Level 5) is suitable for people working or planning to work in firstly entry job roles such as:

• Data warehouse engineer Assistant/Technician
• Data platform engineer Assistant/Technician
• Data infrastructure engineer Assistant/Technician
• Analytics engineer Assistant/Technician
• Data architect Assistant/Technician
• Devops engineer Assistant/Technician

What are the Fees?

Our fees include:

• Application/Registration Fees
• Tuition Fees
• Other Fees include Laboratory Fees, Study Manuals, industrial site tours, action research, etc. (where and if applicable).

For more information about our fees, please contact any of our Call Centre at any of our Campuses or the Marketing and Public Relationships Department.

Funding Opportunities

There are many funding options for the MUTAS accredited programs. Most of our students have over the past years been funded by their employers while others finance their studies on their own. Students can also apply for study loan with Namibia Students Financial Assistance Fund (NSFAF). MUTAS also provides scholarship and bursaries to students who meet requirements as stipulated in our annual prospectus.

Withdrawal/Cancellation

Any cancellations/withdraw or refunds are executed in accordance with the MUTAS policies. For more details, refer to the Students Registration Agreement and the Withdraw Policy.

The Diploma in Data Engineering is a Level 5 qualification made up of twelve (12) units. It is structured to be studied for one year through Distance Learning, Online, Virtual Campus, Part-Time, Full-Time, Or Blended Learning.

Total Unit/Modules Diploma in Data Engineering (Level 5)

The following is a compressive list of course modules you will cover in this program:

• 2DE201 Data Warehousing and Data Mining Applications
• 2DE202 Data Analytics and Design
• 2DE203 The Internet of Things
• 2DE204 Large-Scale Data Systems and Engineering
• 2DE205 Artificial Intelligence (AI) Systems
• 2DE206 Data Structures & Algorithms
• 2DE207 Software Engineering
• 2DE208 Data Engineering and the Emerging Big Data Technologies
• 1STU201 Entrepreneurship and Business Development
• 1STU203 Project Management
• 1STU204 Professional Work Etiquettes and Employability
• 1STU205 Specialized Industrial related Project

Work placement/experience requirements

Although there are no specific mandatory elements of work placement/experience required for the Diploma in Data Engineering (Level 5), students are required to do and pass the 200 GLHs unit in Employability and Professional Work Etiquettes. They are also expected to apply theories learned through various methods and carry out the practical learning activities as provided in the qualification specification.

Completion of Study Enrolment Form

Download and complete the Student’s Enrolment Agreement (SEA) form or obtain one from our Call Centre at any of our Campuses, print and complete it and submit it with proof of payment for the stipulated registration fees together to any of our Campuses before the stipulated application deadlines to avoid paying late application/registration fees. To be considered for approval, the completed enrolment agreement form must be accompanied by certified copies of documents as stipulated on the Student’s Enrolment Agreement (SEA) form.

Applicant must ensure that:

• The enrolment agreement form is properly and fully completed and that each page is initialed and signed;
• He/she provides all the required documentation such as certified copies of qualifications, Identity Card/Passport photos, Supporting letters from employers,
• He/she deposit registration fees into the respective Campus’ Bank Account provided on the enrolment agreement form and submits the original copy of the deposit as proof before being issued with an official receipt
• He/she is issued with an official Institutional Receipt, stamped with Official Company Stamp, and Signed by the Head of Call Centre for every payment made to the MUTAS .
• Please note that MUTAS does not receive cash payments,
• He/she obtains a written acknowledge letter confirming that his/her completed enrolment agreement form has been received
• He/she obtains the status of his/her application for studies within 30 working days.
• If admitted, an Admission letter issued by the Admissions section in the Office of the Registrar is obtained through the respective campus together with the timetable, program specifications, syllabuses, student’s details of student’s portal, student’s handbook, and rules and regulations, student card, and any other information.

When can I apply?

MUTAS has a whole year circle of accepting new applications from students from all over the world. However, please take note that applications for the First Semester which starts in January/February each year are only considered up to March of each year. This period includes late registration. Unsuccessful applications for First Semester and applications that are received late are considered for the Second Semester which starts in July each year.

The following are two (2) annual teaching and learning intakes for students to register to study on this program at MUTAS :

• January/February – June
• June/July – November

Applications must be made in-time to avoid late registration fees and to be disappointed if spaces are allocated to earlier applicants.

What must I have to qualify?

The entry to this qualification shall be based on:

The applicant must meet the MUTAS minimum the General Admission Requirements of MUTAS . Specifically, applicants must have passed 80% or all the courses (Units) work for Certificate in Data Engineering (Level 4).

Qualifications obtained from other higher education institutions will be considered for entry to this program on subject to subject similarity and comparability basis and in terms of the MUTAS regulations.

Resources for Prospecting Students

• Qualifications Brochure
• Prospectus
• Online Application
• Application Form

Resources for Registered Students

• Students Handbook
• Institutional Calendar
• Learning and Assessments Policies
• Qualifications Specifications
• Assessments Schedules
• Recorded Lessons’ Presentations
• Virtual Classrooms
• Virtual Library
• Virtual Laboratories
• Study Manuals and Books