Master Award in
Data Analysis and Visualisation
Master Award could transfer 20 credits and full tuition fees to Master’s programs by SIMI and University Partners.
Master Award in Data Analysis and Visualisation
This unit is essential for understanding the fundamentals of the data analysis process including gathering, cleaning, analysing and sharing data and communicating insights with the use of visualizations and dashboard tools. It is expected that students doing this unit will gain hands-on experience of implementing data analytic processes and techniques using a programming language such as Python, R, or a tool such as Weka, KNIME, PowerBI, Excel etc.
Could transfer 20 credits and full tuition fee to the Master of Data Science of SIMI Swiss and University Partners.
Learning Outcomes:
1. Critically evaluate the theoretical foundation of data analytics that determines decision-making processes.
-
1.1 Assess data analysis activities, techniques, and tools.
-
1.2 Evaluate the three types of data analytic methods and their use in industry.
-
1.3 Demonstrate an ability to use a popular programming language or tool used in the data analytics industry to solve a problem.
2. Evaluate a range of predictive analytic techniques to discover new knowledge for forecasting future events.
-
2.1 Compare a range of predictive analytical techniques for forecasting purposes with examples.
-
2.2 Evaluate how predictive analytic techniques can be used for forecasting purposes.
-
2.3 Apply an appropriate tool or programming language to demonstrate predictive analytic techniques.
3. Demonstrate prescriptive analytic methods for finding the best course of action for a situation
-
3.1 Evaluate prescriptive analytic techniques with appropriate examples.
-
3.2 Apply an appropriate programming language or tool to demonstrate how these prescriptive analytic techniques are used to find the best course of action in a situation.
Topics:
- Population, sampling, categorical data, nominal data, ordinal data, continuous data, discrete data. Regression analysis, Monte Carlo simulation, Factor analysis, Cohort analysis, Cluster analysis, Time series analysis, Sentiment analysis.
- Descriptive data analytics, predictive data analytics and prescriptive data analytics.
- Variable identification, univariate and bi-variate analysis, missing values treatment, etc. through graphs, charts, plots.
- Linear regression, multiple linear regression, and logistic regression.
- Qualitative, average approach, naïve approach, time series methods, causal relationship.
- Use R or Python for forecasting modelling.
- Classical optimisation, linear programming techniques, nonlinear programming techniques, dynamic programming.
- Models, justifiable decisions, and defensible decisions.
Indicative reading list
-
Runkler, T. A. (2020). Data analytics: Models and algorithms for Intelligent Data Analysis. Springer Vieweg.
Entry requirements
To enroll The Master Award, the learner must possess:
- Graduated with a Bachelor’s degree from an accredited university or achieved a Level 6 Diploma according to the European Qualifications
- For a degree from non-recognized universities; The learner should have followed Accreditation of Prior Experiential Learning for Qualifications (APEL.Q) policy of SIMI and/or University Partners.
- Learners must be over 21 years old.
The SIMI Swiss reserves the highest decision-making power for admission whether to accept or not accept after a specific review of each candidate’s profile to ensure that they can comprehend and gain benefits when participating. For the fake university or diploma mills, University Partners shall not be accepted.
English requirements
If a learner is not from a predominantly English-speaking country, proof of English language proficiency must be provided.
- Common European Framework of Reference (CEFR) level B2 or equivalent
- Or A minimum TOEFL score of 101 or IELTS 6.5; Reading and Writing must be at 6.5 or equivalent
After graduating with Master Award, students receive all certified documents from the SIMI Swiss.
Certified Documents:
- e-Certificate from the Swiss Information and Management Institute (SIMI Swiss).
- Hard copy certificate from the Swiss Information and Management Institute (SIMI Swiss) – Optional.
- Accreditation of Prior Experiential Learning for Qualifications (APEL.Q) certified from SIMI Swiss for credit and tuition fee transfer.
Because the program is accredited and recognized, students can easily use certified in the working environment and have many opportunities for career advancement. In addition, in case if you want to study for a SIMI degree or university partner degree, students can convert all credits and the full paid tuition fee when participating in the program University Partners.
The SIMI Swiss’ Master Award means:
SIMI Swiss Master Award is the award at the master level and is equivalent to:
- Level 7 certificate of Regulated Qualification Framework (RQF) of UK
- Level 10 certificate of Scottish Credit and Qualifications Framework (SCQF)
- Level 7 certificate of Credit and Qualifications Framework (CQFW)
- Level 7 certificate of European Qualifications Framework (EQF)
- Level 9 certificates of the Australian Qualifications Framework (AQF)
- Level 7 certificate of ASEAN Qualifications Reference Framework (AQRF)
- Level 9 certificate of the African Continental Qualifications Framework (ACQF)
Students can convert all credits and the full tuition fee when participating in the SIMI Swiss and/or University Partners academic programs if they want to study for an academic degree.
Credits transfer:
Learners can accumulate 20 credits from the Master Award program when participating in the Master of Data Science. Please see the credit transfer policy HERE
Tuition fee transfer:
When participating in the Master of Data Science program, students who have graduated 1 Master Award will receive a discount of full tuition fee which you paid. Please see the tuition fee transfer HERE
The SIMI Swiss micro-credential program allows for the transfer of credits and tuition fees into full degree programs from SIMI Swiss and/or its university partners. SIMI Swiss reserves the right to limit admissions once the number of students exceeds the quotas.
Apply Policy:
- To participate in the SIMI Swiss micro-credential program, students need to meet the entry criteria corresponding to each level. Please see the “Entry” tab for more details.
- SIMI Swiss will not accept applicants if their entry qualifications are from diploma mill universities or schools/universities that are not accredited.
- For Master Award programs, if an entry bachelor is unavailable, students must demonstrate a minimum of 5 years of work experience in the relevant field. Please note that a bachelor’s degree is required for the Master’s program at SIMI Swiss and University Partners so that you could study Master Award but could not move to the Master’s program of SIMI and University Partners.
- English is not a mandatory entry requirement for short course programs, but candidates need to ensure that English is used in reading documents, listening to lectures, and doing assignments. Candidates should note that English is a mandatory requirement when switching to an academic program at SIMI Swiss and University Partners.
Apply Process:
- Choose the program that suits your requirements. Note that applicants without a university degree will not be able to participate in the program at Master’s level, and applicants without a Master’s degree will not be able to participate in the program at the Doctoral level.
- Email your application to support@simiswiss.ch with all the required documents. You could download the application form here.
- Our admission department will contact you and guide you through further processes if the registration documents need to be supplemented.
- SIMI Swiss will issue the Letter of Acceptant (LOA). You wil proceed to the next steps according to the instructions and pay tuition fee.
- SIMI Swiss will issue a student confirmation letter, login account to the e-learning system and related documents.
- You have become an official SIMI Swiss student and enjoy your study journey.
The SIMI Swiss micro-credential program is fully online, allowing you to study anytime, anywhere. You have the option to attend live classes with SIMI Swiss. The final exam will be uploaded to the system and evaluated by the academic panel of SIMI Swiss. Students must submit assignments on time; failure to do so will result in the student being considered to have discontinued the program.
Pricing Plans
Take advantage of one of our non-profit professional certified programs with favorable terms for your personal growing carreers.
- Live Class (Option)
- Full online videos
- e-Books
- Self study contents
- Online tutor videos
- Assignment guide
- e-Certificate
- Hard copy certificate
- Accreditation of Prior Experiential Learning for Qualifications (APEL.Q) certified from University Partners for credit and tuition fee transfer
- Accreditation & Recognition certified from University Partners
- Deliver hard copy certificate and all certified documents to your home
- Transfer full credits & tuition fees to equivalent academic programs
- Get more support tuition fees and scholarships when becoming University Partners' international students
- (*) In the event that you receive a scholarship or discount, the fee you should transfer is the amount you actually paid.
SWISS MICRO CREDENTIAL
Contact us
If you interested this micro credential course, please feel free to contact with us! Please note that this program is a not for profit and learning with full online model.