Many aspiring data scientists often request advice from our Big Data Career Consultants about the part time and full time data science courses. The two courses provide the fastest pathway to enter the data science industry. Our consultants provide professional career advice on the best way to enter the industry depending on each person’s individual career and academic history.
Here is a comparison of the full time and part time data science courses:
1. What are the differences between Data Science Full Time and Data Science Part Time Courses?
The full time and part time courses both provide industry training but are slightly different. The end result is the same: job-ready training, job placement support, certification and membership.
Here is a full comparison chart to understand the differences:
Data Science Full Time Course VS Part Time Course – Full Comparison Chart
Data Science Full Time Course VS Part Time Course – Fees Comparison Chart
2. Who should take the Data Science Full Time Course versus the Data Science Part Time Course?
The data science full time and part time course are suited for different professionals. The right course depends on the professional’s job status, personal circumstances, study timeframe and motivation to get a big data full time job in the industry.
Aspiring data science professionals enrol into the courses from diverse backgrounds. Generally speaking, students are either university graduates, career changers or highly motivated professionals looking to upskills into the industry. Entry requirements for the full time and part time courses are a university degree, exposure to any data or IT systems and completion of the recommended online pre-work. An IT professional takes approximately 20-30 hours to complete the online pre-work. A non-IT professional takes approximately 40-60 hours to complete the online pre-work.
The data science full time course is recommended for any professional who is availability during business hours. You need to be able to commit to full time hours (Monday to Friday, 9am to 5pm) for 3 consecutive months. The full time course is unlike a data science part time masters or full time masters from a university because it teaches job ready skills in a practical class-room environment. The trainers are all industry professionals who have worked as senior data scientists. Furthermore, the course includes job placement support, access to our industry partners and contacts, certification and membership after the graduation. The program is very successful with 90% of active job seekers landing a new job within 3 months of graduation.
The data science part time course is recommended for any professional who is unable to commit to the full time course because of work or other commitments. You need to be able to commit to part time hours for 6 months. The course schedule is outside of business hours: 2 evenings per week (6-9pm), plus a Saturday workshop (9am – 5pm) once every fortnight.
The part time course includes job placement support, access to our industry partners and contacts, certification and membership after completion of the graduation. The program is very successful with 90% of active job seekers landing a new job or promotion in within 3 months of graduation.
3. Which Data Science Course has the highest number of Data Scientist full time jobs after graduation?
The full time and part time data science courses have equal opportunities after graduation. Graduates of both courses receive the job outcomes program which is run by the education provider and IoD’s HR Community Team. The HR team matches each graduate’s strengths, such as previous domain expertise, with the best opportunities at our industry partners and contacts. In the 2018 cohorts, 75% of our full time data science course graduates, who are available for big data full time jobs immediately after graduation, landed a job offer within 1 month. 90% of full time and part time graduates get a job offer within 3 months and 94% within 6 months. There are thousands of big data full time jobs in the industry at the moment. See the IoD job board to review jobs from our industry partners and contacts.
Here are the most common data science full time jobs and titles after graduation:
Common Big Data Full Time Jobs After Graduation
- Data Analyst
- Junior Data Scientist
- Data Scientist
- Data Engineer
- Big Data Engineer
- Junior Big Data Engineer
4. Why should I take a Data Science Full Time or Part Time Course from a training provider, rather than a Data Science Part Time Masters or Full Time MSC from a university?
This is a common and valid question from any aspiring data professional. Our experience shows a number of industry trends by employers, technology and education providers.
Here are three trends we deal with on a day-to-day basis in the industry:
- Employers are demanding data professionals who are “job ready” from day-one. Employers often come to us requesting candidates who are trained to actually do the job. We often hear stories from employers about university graduates being more theoretical than practical. This means the employer has to invest time and money into training the university graduate with the practical skills.
- Technology in the industry is advancing so quickly that, to keep up to date, trainers need to actively be working in the industry. University professors are often removed from the industry and may be a few years behind the latest technology trend.
- Duration of the course is a major factor between a data science full time masters at a university (2 years) versus a data science full time training course (3 months). Our Big Data Career Consultants often use examples of career outcomes to explain the difference.
Here is an example of the career path of a data professional, 2 years after enrolling into a data science course or masters:
- Person A enrols into a data science full time course(training). After 2 years, they will have 1.5 years of experience and a six-figure salary.
- Person B enrols into a data science full time masters at a university. After 2 years, they will have no industry experience and are searching for a graduate job in the industry.
The above reasons are significant and should be considered before enrolling into any course or degree. Data science training courses are modern style education – intense training by the industry for the industry with real career outcomes.
Here is a comparison of the Data Science Full Time Course versus a Data Science Full Time Masters:
Data Science Full Time Course versus Data Science Full Time Masters – Full Comparison Chart
5. What are the options for short Data Science Part Time Courses in Australia (Sydney or Melbourne)?
Data Science part time courses are in-class room courses run by industry trainers. There are two data science industry training providers in Australia that provide job-ready skills: General Assembly, Presciient, UTS:AAi and the Data Science Institute of Australia (DSIA). The courses are available in Sydney and Melbourne. You can enrol into the courses on our short courses website.
The Data Science Full Time and Part Time Programs offer Industry Training and Data Scientist Jobs
The full time and part time data science courses focus on training and career outcomes, certification and membership to land a job in the industry.
The main difference is the commitment of time and duration (3 months full time versus 6 months part time). Beyond the commitment and duration, the two courses offer modern practical style in-class room education which equip graduates with job-ready skills. Both courses receive job placement support and access to our industry partners and contacts, certification and membership.
If you are interested to learn more about up-skilling and landing a job in the Data Science & AI industry, you can book a consultation with a Big Data Career Consultant.