Get the training to use your analytical and problem-solving skills to leverage the true value of data for organisations all over the world.
You’ll be well equipped for a career in this exciting and constantly changing field as you learn to design, develop and use front and back-end data manipulation, security and data warehousing processes and technologies to support decision making and solve business problems.
As well as a strong grounding in analytical, technical and theoretical concepts this degree also uses hands-on practical methods and teaches important people skills like communication and management skills.
As the culmination of this programme you’ll be able to do a real-world project where you can apply your skills in the workplace.
Career opportunities
Opportunities for employment include:
Programme structure
You will need to complete the below seven courses (120 credits):
Level 6
563.684 Big Data Analysis (15 credits)
563.685 Business Statistics for Decision Modelling (15 credits)
563.686 Data Analytics and Intelligence (15 credits)
Level 7
563.783 Management of ICT (15 credits)
563.784 Advanced Data Analytics (15 credits)
563.785 Hot Topic in Data Analytics (15 credits)
563.786 GDICT Industry Project (30 credits)
22 يوليو 2024
MIT Manukau
Corner of Manukau Station Road and Davies Avenue,
AUCKLAND,
Manukau,
2104, New Zealand
Applicants must meet the following criteria for admission into the programme:
IELTS test: Academic score of 6 with no band score lower than 5.5; TOEFL Paper-based test (pBT): Score of 550 (with an essay score of 5 TWE); TOEFL Internet-based test (iBT): Score of 60 (with a writing score of 18); Cambridge English Examinations: B2 First, or B2 First for schools, or C1 Advanced, or C2 Proficiency with a score of 169. No less than 162 in each skill; Pearson Test of English (Academic): PTE (Academic) score of 50 with no band score lower than 42
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