diff --git a/skcuda/fft.py b/skcuda/fft.py
index 5ec04a3..e7d86f6 100644
--- a/skcuda/fft.py
+++ b/skcuda/fft.py
@@ -186,13 +186,13 @@ def _fft(x_gpu, y_gpu, plan, direction, scale=None):
         raise ValueError('can only compute in-place transform of complex data')
 
     if direction == cufft.CUFFT_FORWARD and \
-           plan.in_dtype in np.sctypes['complex'] and \
-           plan.out_dtype in np.sctypes['float']:
+           plan.in_dtype in [np.dtype(t).type for t in np.typecodes['Complex']] and \
+           plan.out_dtype in [np.dtype(t).type for t in np.typecodes['Float']]:
         raise ValueError('cannot compute forward complex -> real transform')
 
     if direction == cufft.CUFFT_INVERSE and \
-           plan.in_dtype in np.sctypes['float'] and \
-           plan.out_dtype in np.sctypes['complex']:
+           plan.in_dtype in [np.dtype(t).type for t in np.typecodes['Float']] and \
+           plan.out_dtype in [np.dtype(t).type for t in np.typecodes['Complex']]:
         raise ValueError('cannot compute inverse real -> complex transform')
 
     if plan.fft_type in [cufft.CUFFT_C2C, cufft.CUFFT_Z2Z]:
diff --git a/skcuda/misc.py b/skcuda/misc.py
index 63dea7c..68baa2f 100644
--- a/skcuda/misc.py
+++ b/skcuda/misc.py
@@ -634,7 +634,7 @@ def diff(x_gpu):
 
 
 # List of available numerical types provided by numpy:
-num_types = [np.sctypeDict[t] for t in \
+num_types = [np.dtype(t).type for t in \
              np.typecodes['AllInteger']+np.typecodes['AllFloat']]
 
 # Numbers of bytes occupied by each numerical type: